Skipping 80 KB..
Full LogNumber of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer - threads : 8
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.50e+04 after factor : 1.56e+05
Factor - dense dim. : 0 flops : 3.20e+07
Factor - GP saved nzs : 3.39e+04 GP saved flops : 9.49e+05
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+03 3.1e+03 1.2e+05 0.00e+00 -1.233105857e+05 2.000000000e+00 1.0e+00 0.08
1 1.6e+03 2.3e+03 8.9e+04 -9.71e-01 -1.225522260e+05 2.679694265e+00 7.2e-01 0.09
2 8.4e+02 1.1e+03 4.5e+04 -9.59e-01 -1.200450674e+05 4.944998193e+00 3.7e-01 0.10
3 2.9e+02 4.0e+02 1.6e+04 -9.17e-01 -1.113087194e+05 2.072727139e+01 1.3e-01 0.12
4 2.9e+02 4.0e+02 1.6e+04 -7.71e-01 -1.091098148e+05 1.937258705e+03 1.3e-01 0.13
5 1.3e+02 1.7e+02 6.8e+03 -7.61e-01 -8.906937169e+04 6.017892855e+03 5.6e-02 0.14
6 4.2e+01 5.8e+01 2.3e+03 -4.68e-01 -4.999714972e+04 1.075216795e+04 1.9e-02 0.15
7 2.5e+01 3.4e+01 1.3e+03 1.82e-01 -3.413617889e+04 7.322516631e+03 1.1e-02 0.16
8 1.1e+01 1.5e+01 6.1e+02 4.80e-01 -1.697181317e+04 4.486688281e+03 5.0e-03 0.18
9 6.1e+00 8.4e+00 3.3e+02 7.75e-01 -9.219942877e+03 2.998396997e+03 2.7e-03 0.19
10 2.2e+00 3.0e+00 1.2e+02 9.06e-01 -3.202172414e+03 1.286024459e+03 9.8e-04 0.20
11 9.9e-01 1.3e+00 5.4e+01 9.83e-01 -1.332684059e+03 7.161657721e+02 4.5e-04 0.21
12 8.1e-01 1.1e+00 4.4e+01 9.83e-01 -1.075193114e+03 6.209294414e+02 3.7e-04 0.22
13 5.5e-01 8.3e-01 3.0e+01 9.67e-01 -6.947991727e+02 4.769712582e+02 2.5e-04 0.23
14 2.3e-01 3.5e-01 1.3e+01 9.96e-01 -2.037920474e+02 2.915983081e+02 1.1e-04 0.24
15 1.5e-01 2.4e-01 8.6e+00 1.00e+00 -8.049453182e+01 2.491359852e+02 7.2e-05 0.25
16 6.7e-02 1.3e-01 3.7e+00 1.00e+00 5.186474919e+01 1.952401705e+02 3.1e-05 0.26
17 6.2e-02 1.2e-01 3.5e+00 1.02e+00 6.518069514e+01 1.996819603e+02 3.0e-05 0.27
18 1.9e-02 1.0e-01 1.1e+00 1.01e+00 1.352774277e+02 1.773731040e+02 9.3e-06 0.28
19 6.2e-03 1.8e-01 3.6e-01 1.02e+00 1.578109628e+02 1.714191847e+02 3.0e-06 0.29
20 2.7e-03 1.8e-01 1.6e-01 1.00e+00 1.629913694e+02 1.690300347e+02 1.4e-06 0.30
21 1.6e-03 1.4e-01 9.4e-02 1.00e+00 1.649549762e+02 1.684586000e+02 7.9e-07 0.32
22 6.3e-04 1.4e-01 3.8e-02 1.00e+00 1.664865867e+02 1.679131773e+02 3.3e-07 0.33
23 1.5e-04 1.4e-01 9.8e-03 1.00e+00 1.672411097e+02 1.676083820e+02 8.6e-08 0.34
24 4.3e-05 1.3e-01 2.8e-03 1.01e+00 1.674254133e+02 1.675288703e+02 2.5e-08 0.35
25 1.5e-05 1.1e-01 9.8e-04 1.00e+00 1.674725694e+02 1.675087513e+02 8.7e-09 0.36
26 4.5e-06 1.1e-01 3.0e-04 1.00e+00 1.674899271e+02 1.675010371e+02 2.7e-09 0.36
27 1.7e-06 9.4e-02 1.2e-04 1.00e+00 1.674946538e+02 1.674989239e+02 1.0e-09 0.37
28 7.2e-07 8.3e-02 4.8e-05 1.00e+00 1.674963640e+02 1.674981416e+02 4.3e-10 0.39
29 6.5e-07 7.5e-02 4.3e-05 1.00e+00 1.674964867e+02 1.674980866e+02 3.9e-10 0.39
30 5.8e-07 6.9e-02 3.9e-05 1.00e+00 1.674965958e+02 1.674980357e+02 3.5e-10 0.41
31 5.2e-07 6.3e-02 3.5e-05 9.99e-01 1.674966939e+02 1.674979899e+02 3.1e-10 0.42
32 4.7e-07 5.7e-02 3.2e-05 1.00e+00 1.674967821e+02 1.674979485e+02 2.8e-10 0.43
33 4.2e-07 5.2e-02 2.8e-05 9.96e-01 1.674968615e+02 1.674979114e+02 2.5e-10 0.44
34 3.8e-07 4.8e-02 2.6e-05 1.00e+00 1.674969328e+02 1.674978778e+02 2.3e-10 0.45
35 3.4e-07 4.4e-02 2.3e-05 1.00e+00 1.674969971e+02 1.674978475e+02 2.1e-10 0.47
36 3.1e-07 4.0e-02 2.1e-05 9.99e-01 1.674970549e+02 1.674978203e+02 1.9e-10 0.48
37 2.8e-07 3.7e-02 1.9e-05 1.00e+00 1.674971072e+02 1.674977955e+02 1.7e-10 0.49
38 2.5e-07 3.4e-02 1.7e-05 1.00e+00 1.674971540e+02 1.674977734e+02 1.5e-10 0.50
39 2.3e-07 3.1e-02 1.5e-05 1.00e+00 1.674971961e+02 1.674977535e+02 1.4e-10 0.51
40 2.0e-07 2.9e-02 1.4e-05 1.00e+00 1.674972339e+02 1.674977356e+02 1.2e-10 0.52
41 1.8e-07 2.7e-02 1.2e-05 1.01e+00 1.674972685e+02 1.674977192e+02 1.1e-10 0.53
42 1.6e-07 2.5e-02 1.1e-05 9.91e-01 1.674972991e+02 1.674977049e+02 9.9e-11 0.54
43 1.5e-07 2.3e-02 9.9e-06 1.01e+00 1.674973280e+02 1.674976910e+02 8.9e-11 0.55
44 1.3e-07 2.2e-02 8.9e-06 1.01e+00 1.674973531e+02 1.674976791e+02 8.1e-11 0.56
45 1.2e-07 2.0e-02 8.0e-06 1.00e+00 1.674973752e+02 1.674976686e+02 7.3e-11 0.57
46 1.1e-07 1.9e-02 7.2e-06 1.01e+00 1.674973959e+02 1.674976588e+02 6.6e-11 0.59
47 9.7e-08 1.8e-02 6.5e-06 9.97e-01 1.674974137e+02 1.674976504e+02 5.9e-11 0.60
48 8.7e-08 1.7e-02 5.8e-06 1.00e+00 1.674974298e+02 1.674976428e+02 5.3e-11 0.62
49 7.9e-08 1.6e-02 5.3e-06 9.93e-01 1.674974442e+02 1.674976360e+02 4.8e-11 0.63
50 7.1e-08 1.5e-02 4.7e-06 1.01e+00 1.674974576e+02 1.674976296e+02 4.3e-11 0.64
51 6.4e-08 1.5e-02 4.3e-06 1.02e+00 1.674974700e+02 1.674976236e+02 3.9e-11 0.65
52 5.7e-08 1.4e-02 3.8e-06 9.92e-01 1.674974804e+02 1.674976188e+02 3.5e-11 0.66
53 5.2e-08 1.3e-02 3.4e-06 9.99e-01 1.674974898e+02 1.674976143e+02 3.2e-11 0.67
54 4.7e-08 1.3e-02 3.1e-06 1.00e+00 1.674974982e+02 1.674976103e+02 2.8e-11 0.68
55 4.2e-08 1.2e-02 2.8e-06 9.96e-01 1.674975058e+02 1.674976068e+02 2.6e-11 0.69
56 3.8e-08 1.2e-02 2.5e-06 9.55e-01 1.674975126e+02 1.674976037e+02 2.3e-11 0.70
57 3.4e-08 1.2e-02 2.3e-06 1.03e+00 1.674975195e+02 1.674976003e+02 2.1e-11 0.71
58 3.1e-08 1.1e-02 2.0e-06 9.86e-01 1.674975250e+02 1.674975978e+02 1.9e-11 0.72
59 2.7e-08 1.1e-02 1.8e-06 9.87e-01 1.674975299e+02 1.674975955e+02 1.7e-11 0.73
60 2.5e-08 1.0e-02 1.6e-06 9.94e-01 1.674975343e+02 1.674975934e+02 1.5e-11 0.74
61 2.2e-08 9.4e-03 1.5e-06 1.05e+00 1.674975393e+02 1.674975909e+02 1.4e-11 0.75
62 2.0e-08 9.4e-03 1.3e-06 1.02e+00 1.674975430e+02 1.674975891e+02 1.3e-11 0.76
63 1.8e-08 8.5e-03 1.2e-06 1.03e+00 1.674975465e+02 1.674975874e+02 1.2e-11 0.77
64 1.6e-08 7.6e-03 1.1e-06 1.04e+00 1.674975498e+02 1.674975857e+02 1.1e-11 0.78
65 1.5e-08 6.9e-03 9.7e-07 9.99e-01 1.674975523e+02 1.674975846e+02 9.7e-12 0.79
66 1.3e-08 6.8e-03 8.8e-07 9.40e-01 1.674975544e+02 1.674975837e+02 8.7e-12 0.80
67 1.2e-08 6.1e-03 7.9e-07 9.58e-01 1.674975564e+02 1.674975828e+02 7.8e-12 0.82
68 3.4e-09 6.9e-04 9.0e-08 1.00e+00 1.674975722e+02 1.674975751e+02 8.4e-13 0.83
Optimizer terminated. Time: 0.83
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6749757216e+02 nrm: 2e+01 Viol. con: 7e-08 var: 0e+00
Dual. obj: 1.6749757513e+02 nrm: 9e+02 Viol. con: 0e+00 var: 4e-03
* End solution on dual form. *
Transforming to primal solution.
Solving took 0.87 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (312) of matrix 'A'.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer - threads : 8
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.50e+04 after factor : 1.56e+05
Factor - dense dim. : 0 flops : 3.20e+07
Factor - GP saved nzs : 3.39e+04 GP saved flops : 9.49e+05
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+03 3.1e+03 1.2e+05 0.00e+00 -1.230151874e+05 2.000000000e+00 1.0e+00 0.09
1 1.7e+03 2.3e+03 9.0e+04 -9.71e-01 -1.222909463e+05 2.632024871e+00 7.3e-01 0.10
2 8.7e+02 1.2e+03 4.7e+04 -9.59e-01 -1.199585223e+05 4.667446721e+00 3.8e-01 0.10
3 2.9e+02 4.0e+02 1.6e+04 -9.21e-01 -1.110710161e+05 1.988033949e+01 1.3e-01 0.11
4 2.9e+02 4.0e+02 1.6e+04 -7.72e-01 -1.087643249e+05 2.036750202e+03 1.3e-01 0.12
5 1.3e+02 1.7e+02 6.8e+03 -7.62e-01 -8.906226188e+04 5.971546215e+03 5.6e-02 0.13
6 4.2e+01 5.7e+01 2.3e+03 -4.73e-01 -4.920365932e+04 1.111358480e+04 1.9e-02 0.14
7 2.4e+01 3.3e+01 1.3e+03 1.94e-01 -3.349623413e+04 7.411182276e+03 1.1e-02 0.16
8 1.3e+01 1.8e+01 7.1e+02 4.95e-01 -1.969323550e+04 4.787889953e+03 5.8e-03 0.16
9 5.5e+00 7.6e+00 3.0e+02 7.36e-01 -8.516582803e+03 2.513907329e+03 2.5e-03 0.18
10 2.7e+00 3.6e+00 1.4e+02 9.14e-01 -3.903735636e+03 1.521871457e+03 1.2e-03 0.19
11 1.1e+00 1.5e+00 5.9e+01 9.77e-01 -1.505243000e+03 7.328157029e+02 4.9e-04 0.21
12 8.6e-01 1.2e+00 4.7e+01 9.86e-01 -1.158347786e+03 6.275018939e+02 3.9e-04 0.22
13 6.7e-01 9.8e-01 3.7e+01 9.67e-01 -8.901546756e+02 5.250560385e+02 3.0e-04 0.24
14 3.2e-01 4.7e-01 1.8e+01 9.93e-01 -3.292620281e+02 3.540982586e+02 1.5e-04 0.25
15 1.5e-01 2.3e-01 8.4e+00 9.97e-01 -7.948417251e+01 2.417989997e+02 7.0e-05 0.26
16 8.6e-02 1.4e-01 4.8e+00 1.01e+00 1.957512514e+01 2.032106593e+02 4.0e-05 0.27
17 8.4e-02 1.4e-01 4.7e+00 1.02e+00 2.382791322e+01 2.027104816e+02 3.9e-05 0.28
18 6.9e-02 1.2e-01 3.8e+00 1.02e+00 5.217170925e+01 1.985759635e+02 3.2e-05 0.29
19 2.2e-02 8.7e-02 1.2e+00 1.02e+00 1.315364911e+02 1.779824074e+02 1.0e-05 0.30
20 6.9e-03 1.7e-01 3.9e-01 1.01e+00 1.561695926e+02 1.708356662e+02 3.3e-06 0.31
21 2.6e-03 1.6e-01 1.5e-01 1.00e+00 1.626493535e+02 1.681680996e+02 1.2e-06 0.32
22 1.6e-03 1.1e-01 9.4e-02 1.01e+00 1.641728075e+02 1.676798392e+02 7.9e-07 0.33
23 7.5e-04 8.3e-02 4.4e-02 1.00e+00 1.655650470e+02 1.671959448e+02 3.7e-07 0.35
24 3.0e-04 8.7e-02 1.8e-02 1.01e+00 1.662579195e+02 1.669290102e+02 1.5e-07 0.36
25 2.7e-04 8.0e-02 1.6e-02 1.01e+00 1.663096974e+02 1.669134831e+02 1.4e-07 0.37
26 2.5e-04 7.2e-02 1.5e-02 1.01e+00 1.663521863e+02 1.668954358e+02 1.2e-07 0.38
27 2.2e-04 6.6e-02 1.3e-02 1.01e+00 1.663907240e+02 1.668795253e+02 1.1e-07 0.40
28 2.0e-04 6.0e-02 1.2e-02 1.01e+00 1.664251860e+02 1.668650071e+02 1.0e-07 0.41
29 1.8e-04 5.5e-02 1.1e-02 1.01e+00 1.664560907e+02 1.668518474e+02 9.1e-08 0.43
30 1.6e-04 5.0e-02 9.6e-03 1.01e+00 1.664837964e+02 1.668399098e+02 8.2e-08 0.44
31 1.5e-04 4.6e-02 8.6e-03 1.01e+00 1.665086406e+02 1.668290879e+02 7.4e-08 0.46
32 1.3e-04 4.2e-02 7.8e-03 1.01e+00 1.665309219e+02 1.668192797e+02 6.6e-08 0.47
33 1.2e-04 3.9e-02 7.0e-03 1.00e+00 1.665509086e+02 1.668103946e+02 6.0e-08 0.49
34 1.1e-04 3.6e-02 6.3e-03 1.00e+00 1.665688394e+02 1.668023466e+02 5.4e-08 0.50
35 9.5e-05 3.3e-02 5.7e-03 1.00e+00 1.665849293e+02 1.667950627e+02 4.8e-08 0.52
36 8.6e-05 3.0e-02 5.1e-03 1.00e+00 1.665993681e+02 1.667884686e+02 4.4e-08 0.53
37 7.7e-05 2.8e-02 4.6e-03 1.00e+00 1.666123280e+02 1.667825038e+02 3.9e-08 0.55
38 6.9e-05 2.6e-02 4.1e-03 1.00e+00 1.666239610e+02 1.667771067e+02 3.5e-08 0.56
39 6.3e-05 2.4e-02 3.7e-03 1.00e+00 1.666344049e+02 1.667722256e+02 3.2e-08 0.58
40 5.6e-05 2.3e-02 3.3e-03 1.00e+00 1.666437820e+02 1.667678127e+02 2.9e-08 0.59
41 5.1e-05 2.1e-02 3.0e-03 1.00e+00 1.666522021e+02 1.667638239e+02 2.6e-08 0.60
42 4.6e-05 2.0e-02 2.7e-03 1.00e+00 1.666597635e+02 1.667602182e+02 2.3e-08 0.61
43 4.1e-05 1.9e-02 2.4e-03 1.00e+00 1.666665547e+02 1.667569606e+02 2.1e-08 0.63
44 3.7e-05 1.7e-02 2.2e-03 1.00e+00 1.666726544e+02 1.667540170e+02 1.9e-08 0.63
45 3.3e-05 1.7e-02 2.0e-03 1.00e+00 1.666781337e+02 1.667513579e+02 1.7e-08 0.64
46 3.0e-05 1.6e-02 1.8e-03 1.00e+00 1.666830562e+02 1.667489558e+02 1.5e-08 0.66
47 2.7e-05 1.5e-02 1.6e-03 1.00e+00 1.666874788e+02 1.667467869e+02 1.4e-08 0.67
48 2.4e-05 1.4e-02 1.4e-03 1.00e+00 1.666914524e+02 1.667448293e+02 1.2e-08 0.68
49 2.2e-05 1.4e-02 1.3e-03 1.00e+00 1.666950229e+02 1.667430622e+02 1.1e-08 0.68
50 2.0e-05 1.3e-02 1.2e-03 1.00e+00 1.666982315e+02 1.667414665e+02 1.0e-08 0.70
51 1.8e-05 1.3e-02 1.0e-03 1.00e+00 1.667011153e+02 1.667400264e+02 9.0e-09 0.70
52 1.6e-05 1.2e-02 9.4e-04 1.00e+00 1.667037072e+02 1.667387265e+02 8.1e-09 0.71
53 1.4e-05 1.2e-02 8.5e-04 1.00e+00 1.667060370e+02 1.667375540e+02 7.3e-09 0.72
54 1.3e-05 1.1e-02 7.6e-04 1.00e+00 1.667081312e+02 1.667364969e+02 6.5e-09 0.73
55 1.2e-05 1.1e-02 6.9e-04 1.00e+00 1.667100138e+02 1.667355422e+02 5.9e-09 0.75
56 1.0e-05 1.1e-02 6.2e-04 1.00e+00 1.667117064e+02 1.667346824e+02 5.3e-09 0.76
57 9.4e-06 1.0e-02 5.6e-04 1.00e+00 1.667132280e+02 1.667339072e+02 4.8e-09 0.77
58 8.4e-06 1.0e-02 5.0e-04 1.00e+00 1.667145961e+02 1.667332079e+02 4.3e-09 0.79
59 7.6e-06 1.0e-02 4.5e-04 1.00e+00 1.667158265e+02 1.667325772e+02 3.9e-09 0.80
60 6.8e-06 9.8e-03 4.1e-04 1.00e+00 1.667169328e+02 1.667320089e+02 3.5e-09 0.81
61 6.2e-06 9.7e-03 3.7e-04 1.00e+00 1.667179278e+02 1.667314965e+02 3.1e-09 0.83
62 5.5e-06 9.5e-03 3.3e-04 1.00e+00 1.667188226e+02 1.667310348e+02 2.8e-09 0.84
63 5.0e-06 9.3e-03 3.0e-04 9.99e-01 1.667196272e+02 1.667306190e+02 2.5e-09 0.85
64 4.5e-06 9.2e-03 2.7e-04 1.00e+00 1.667203511e+02 1.667302434e+02 2.3e-09 0.86
65 4.0e-06 9.1e-03 2.4e-04 9.98e-01 1.667210019e+02 1.667299061e+02 2.1e-09 0.88
66 3.6e-06 9.0e-03 2.2e-04 9.98e-01 1.667215872e+02 1.667296018e+02 1.9e-09 0.89
67 3.3e-06 8.9e-03 1.9e-04 1.00e+00 1.667221138e+02 1.667293268e+02 1.7e-09 0.90
68 2.9e-06 8.8e-03 1.7e-04 1.00e+00 1.667225874e+02 1.667290793e+02 1.5e-09 0.91
69 2.6e-06 8.7e-03 1.6e-04 1.00e+00 1.667230134e+02 1.667288557e+02 1.3e-09 0.92
70 2.4e-06 8.6e-03 1.4e-04 9.98e-01 1.667233964e+02 1.667286552e+02 1.2e-09 0.93
71 2.1e-06 8.5e-03 1.3e-04 9.99e-01 1.667237409e+02 1.667284743e+02 1.1e-09 0.94
72 1.9e-06 8.5e-03 1.1e-04 1.00e+00 1.667240508e+02 1.667283110e+02 9.8e-10 0.96
73 1.7e-06 8.4e-03 1.0e-04 1.00e+00 1.667243299e+02 1.667281631e+02 8.9e-10 0.97
74 1.6e-06 8.4e-03 9.3e-05 1.00e+00 1.667245809e+02 1.667280306e+02 8.0e-10 0.98
75 1.4e-06 8.3e-03 8.4e-05 1.00e+00 1.667248066e+02 1.667279114e+02 7.2e-10 0.99
76 1.3e-06 8.3e-03 7.5e-05 1.00e+00 1.667250097e+02 1.667278039e+02 6.5e-10 1.00
77 1.1e-06 8.2e-03 6.8e-05 1.00e+00 1.667251924e+02 1.667277073e+02 5.8e-10 1.01
78 1.0e-06 8.2e-03 6.1e-05 1.00e+00 1.667253569e+02 1.667276199e+02 5.2e-10 1.02
79 9.2e-07 8.1e-03 5.5e-05 1.00e+00 1.667255048e+02 1.667275412e+02 4.7e-10 1.03
80 8.3e-07 8.1e-03 4.9e-05 1.00e+00 1.667256379e+02 1.667274705e+02 4.2e-10 1.04
81 7.5e-07 8.1e-03 4.4e-05 1.00e+00 1.667257576e+02 1.667274069e+02 3.8e-10 1.05
82 6.7e-07 8.0e-03 4.0e-05 9.98e-01 1.667258653e+02 1.667273498e+02 3.4e-10 1.06
83 6.1e-07 8.0e-03 3.6e-05 1.00e+00 1.667259622e+02 1.667272981e+02 3.1e-10 1.07
84 5.5e-07 8.0e-03 3.2e-05 9.98e-01 1.667260492e+02 1.667272519e+02 2.8e-10 1.08
85 4.9e-07 7.9e-03 2.9e-05 9.91e-01 1.667261275e+02 1.667272105e+02 2.5e-10 1.09
86 4.4e-07 7.1e-03 2.6e-05 1.01e+00 1.667261986e+02 1.667271721e+02 2.3e-10 1.10
87 4.0e-07 6.4e-03 2.4e-05 1.02e+00 1.667262655e+02 1.667271356e+02 2.0e-10 1.11
88 3.6e-07 5.8e-03 2.1e-05 9.99e-01 1.667263222e+02 1.667271055e+02 1.8e-10 1.12
89 3.2e-07 5.2e-03 1.9e-05 9.95e-01 1.667263731e+02 1.667270781e+02 1.7e-10 1.14
90 2.9e-07 4.7e-03 1.7e-05 1.00e+00 1.667264192e+02 1.667270532e+02 1.5e-10 1.15
91 2.6e-07 4.2e-03 1.6e-05 1.01e+00 1.667264615e+02 1.667270303e+02 1.3e-10 1.16
92 2.3e-07 3.8e-03 1.4e-05 1.03e+00 1.667265027e+02 1.667270075e+02 1.2e-10 1.18
93 2.1e-07 3.4e-03 1.3e-05 9.84e-01 1.667265354e+02 1.667269902e+02 1.1e-10 1.19
94 1.9e-07 3.1e-03 1.1e-05 1.03e+00 1.667265685e+02 1.667269719e+02 1.0e-10 1.20
95 1.7e-07 2.8e-03 1.0e-05 1.01e+00 1.667265955e+02 1.667269573e+02 9.1e-11 1.21
96 1.5e-07 2.5e-03 9.2e-06 9.87e-01 1.667266190e+02 1.667269449e+02 8.2e-11 1.22
97 1.4e-07 2.2e-03 8.2e-06 1.03e+00 1.667266430e+02 1.667269315e+02 7.5e-11 1.23
98 1.2e-07 2.0e-03 7.4e-06 9.80e-01 1.667266617e+02 1.667269218e+02 6.7e-11 1.24
99 1.1e-07 1.8e-03 6.7e-06 1.01e+00 1.667266790e+02 1.667269123e+02 6.1e-11 1.26
100 1.0e-07 1.6e-03 6.0e-06 1.02e+00 1.667266952e+02 1.667269034e+02 5.5e-11 1.27
101 9.1e-08 1.5e-03 5.4e-06 1.03e+00 1.667267102e+02 1.667268952e+02 5.0e-11 1.29
102 8.2e-08 1.3e-03 4.9e-06 1.00e+00 1.667267224e+02 1.667268886e+02 4.5e-11 1.30
103 7.4e-08 1.2e-03 4.4e-06 1.02e+00 1.667267342e+02 1.667268822e+02 4.1e-11 1.31
104 6.6e-08 1.1e-03 3.9e-06 9.88e-01 1.667267438e+02 1.667268771e+02 3.7e-11 1.33
105 6.0e-08 9.6e-04 3.5e-06 1.03e+00 1.667267534e+02 1.667268718e+02 3.4e-11 1.35
106 5.4e-08 8.7e-04 3.2e-06 9.46e-01 1.667267611e+02 1.667268679e+02 3.0e-11 1.36
107 4.8e-08 7.8e-04 2.9e-06 9.63e-01 1.667267680e+02 1.667268643e+02 2.7e-11 1.38
108 4.3e-08 7.0e-04 2.6e-06 9.90e-01 1.667267742e+02 1.667268609e+02 2.4e-11 1.39
109 3.9e-08 6.3e-04 2.3e-06 1.04e+00 1.667267810e+02 1.667268571e+02 2.2e-11 1.40
110 3.5e-08 5.7e-04 2.1e-06 9.18e-01 1.667267858e+02 1.667268548e+02 2.0e-11 1.41
111 3.2e-08 5.1e-04 1.9e-06 1.05e+00 1.667267913e+02 1.667268517e+02 1.9e-11 1.42
112 2.9e-08 4.6e-04 1.7e-06 9.61e-01 1.667267951e+02 1.667268498e+02 1.7e-11 1.44
113 2.6e-08 4.1e-04 1.5e-06 1.05e+00 1.667267994e+02 1.667268473e+02 1.5e-11 1.45
114 2.3e-08 3.7e-04 1.4e-06 1.06e+00 1.667268034e+02 1.667268450e+02 1.4e-11 1.46
115 3.3e-09 3.8e-05 1.4e-07 9.40e-01 1.667268279e+02 1.667268322e+02 1.7e-12 1.46
116 3.0e-09 3.5e-05 1.3e-07 1.13e+00 1.667268283e+02 1.667268320e+02 1.6e-12 1.48
117 2.8e-09 3.1e-05 1.2e-07 8.30e-01 1.667268285e+02 1.667268318e+02 1.5e-12 1.50
Optimizer terminated. Time: 1.50
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6672682849e+02 nrm: 2e+01 Viol. con: 3e-08 var: 0e+00
Dual. obj: 1.6672683185e+02 nrm: 9e+02 Viol. con: 0e+00 var: 2e-04
* End solution on dual form. *
Transforming to primal solution.
Solving took 1.53 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (312) of matrix 'A'.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer - threads : 8
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.07 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.06
Factor - nonzeros before factor : 1.50e+04 after factor : 1.56e+05
Factor - dense dim. : 0 flops : 3.20e+07
Factor - GP saved nzs : 3.39e+04 GP saved flops : 9.49e+05
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+03 3.1e+03 1.2e+05 0.00e+00 -1.230367264e+05 2.000000000e+00 1.0e+00 0.09
1 1.7e+03 2.3e+03 9.0e+04 -9.71e-01 -1.223177936e+05 2.624159794e+00 7.3e-01 0.10
2 8.8e+02 1.2e+03 4.7e+04 -9.60e-01 -1.200116887e+05 4.619635055e+00 3.9e-01 0.12
3 2.9e+02 4.0e+02 1.6e+04 -9.22e-01 -1.110425689e+05 1.990286328e+01 1.3e-01 0.13
4 2.9e+02 4.0e+02 1.6e+04 -7.72e-01 -1.087589499e+05 2.019784747e+03 1.3e-01 0.14
5 1.2e+02 1.7e+02 6.6e+03 -7.62e-01 -8.824306238e+04 6.154158248e+03 5.4e-02 0.15
6 3.7e+01 5.1e+01 2.0e+03 -4.61e-01 -4.476052777e+04 1.167144363e+04 1.6e-02 0.17
7 2.2e+01 3.0e+01 1.2e+03 2.75e-01 -3.063914565e+04 7.474206615e+03 9.9e-03 0.19
8 1.1e+01 1.5e+01 5.9e+02 5.48e-01 -1.642220328e+04 4.292917628e+03 4.8e-03 0.20
9 3.9e+00 5.4e+00 2.1e+02 7.94e-01 -5.958931250e+03 1.972076450e+03 1.8e-03 0.22
10 2.1e+00 2.9e+00 1.2e+02 9.52e-01 -3.110213001e+03 1.278450792e+03 9.6e-04 0.23
11 9.0e-01 1.2e+00 4.9e+01 9.86e-01 -1.221224540e+03 6.471607486e+02 4.1e-04 0.24
12 7.9e-01 1.1e+00 4.3e+01 9.75e-01 -1.085662755e+03 5.843760232e+02 3.6e-04 0.26
13 5.8e-01 8.0e-01 3.2e+01 9.84e-01 -7.316437377e+02 4.857277225e+02 2.6e-04 0.28
14 1.7e-01 2.6e-01 9.7e+00 9.93e-01 -1.230611897e+02 2.488844973e+02 8.1e-05 0.29
15 9.7e-02 1.6e-01 5.5e+00 1.01e+00 -1.690883848e+00 2.075764152e+02 4.6e-05 0.30
16 9.7e-02 1.6e-01 5.4e+00 1.02e+00 -1.273225012e-02 2.077798265e+02 4.6e-05 0.32
17 8.8e-02 1.4e-01 5.0e+00 1.02e+00 1.846520509e+01 2.082301928e+02 4.2e-05 0.33
18 5.6e-02 9.6e-02 3.2e+00 1.02e+00 7.283434589e+01 1.929064358e+02 2.7e-05 0.34
19 2.2e-02 8.1e-02 1.3e+00 1.02e+00 1.302264607e+02 1.776364891e+02 1.1e-05 0.36
20 5.9e-03 2.4e-01 3.4e-01 1.01e+00 1.575257571e+02 1.701851922e+02 2.8e-06 0.37
21 3.7e-03 2.3e-01 2.1e-01 1.00e+00 1.608343595e+02 1.687638232e+02 1.8e-06 0.39
22 1.4e-03 1.2e-01 8.3e-02 1.00e+00 1.643738784e+02 1.674761057e+02 7.0e-07 0.40
23 7.3e-04 8.2e-02 4.3e-02 1.01e+00 1.654401985e+02 1.670578461e+02 3.7e-07 0.42
24 2.7e-04 9.1e-02 1.6e-02 1.01e+00 1.661613227e+02 1.667680025e+02 1.4e-07 0.43
25 2.4e-04 8.4e-02 1.5e-02 1.01e+00 1.662085141e+02 1.667544409e+02 1.3e-07 0.44
26 2.2e-04 7.6e-02 1.3e-02 1.01e+00 1.662467814e+02 1.667379146e+02 1.1e-07 0.46
27 2.0e-04 6.9e-02 1.2e-02 1.01e+00 1.662815221e+02 1.667233829e+02 1.0e-07 0.47
28 1.8e-04 6.3e-02 1.1e-02 1.01e+00 1.663125903e+02 1.667101328e+02 9.2e-08 0.49
29 1.6e-04 5.8e-02 9.7e-03 1.01e+00 1.663404630e+02 1.666981427e+02 8.3e-08 0.50
30 1.4e-04 5.3e-02 8.7e-03 1.01e+00 1.663654597e+02 1.666872823e+02 7.5e-08 0.52
31 1.3e-04 4.8e-02 7.8e-03 1.01e+00 1.663878809e+02 1.666774485e+02 6.7e-08 0.53
32 1.2e-04 4.4e-02 7.0e-03 1.01e+00 1.664079933e+02 1.666685448e+02 6.0e-08 0.55
33 1.0e-04 4.1e-02 6.3e-03 1.01e+00 1.664260365e+02 1.666604845e+02 5.4e-08 0.56
34 9.4e-05 3.7e-02 5.7e-03 1.01e+00 1.664422251e+02 1.666531890e+02 4.9e-08 0.58
35 8.5e-05 3.4e-02 5.1e-03 1.01e+00 1.664567514e+02 1.666465871e+02 4.4e-08 0.59
36 7.6e-05 3.2e-02 4.6e-03 1.01e+00 1.664697875e+02 1.666406138e+02 4.0e-08 0.60
37 6.9e-05 2.9e-02 4.2e-03 1.00e+00 1.664814876e+02 1.666352104e+02 3.6e-08 0.62
38 6.2e-05 2.7e-02 3.7e-03 1.00e+00 1.664919897e+02 1.666303234e+02 3.2e-08 0.63
39 5.6e-05 2.5e-02 3.4e-03 1.00e+00 1.665014173e+02 1.666259043e+02 2.9e-08 0.65
40 5.0e-05 2.4e-02 3.0e-03 1.00e+00 1.665098814e+02 1.666219088e+02 2.6e-08 0.66
41 4.5e-05 2.2e-02 2.7e-03 1.00e+00 1.665174811e+02 1.666182971e+02 2.3e-08 0.68
42 4.1e-05 2.1e-02 2.5e-03 1.00e+00 1.665243054e+02 1.666150329e+02 2.1e-08 0.70
43 3.6e-05 2.0e-02 2.2e-03 1.00e+00 1.665304339e+02 1.666120831e+02 1.9e-08 0.71
44 3.3e-05 1.8e-02 2.0e-03 1.00e+00 1.665359381e+02 1.666094181e+02 1.7e-08 0.72
45 3.0e-05 1.7e-02 1.8e-03 1.00e+00 1.665408822e+02 1.666070107e+02 1.5e-08 0.74
46 2.7e-05 1.6e-02 1.6e-03 1.00e+00 1.665453234e+02 1.666048364e+02 1.4e-08 0.76
47 2.4e-05 1.6e-02 1.5e-03 1.00e+00 1.665493134e+02 1.666028730e+02 1.2e-08 0.77
48 2.2e-05 1.5e-02 1.3e-03 1.00e+00 1.665528983e+02 1.666011003e+02 1.1e-08 0.79
49 1.9e-05 1.4e-02 1.2e-03 1.00e+00 1.665561196e+02 1.665995001e+02 1.0e-08 0.80
50 1.7e-05 1.4e-02 1.1e-03 1.00e+00 1.665590144e+02 1.665980559e+02 9.1e-09 0.82
51 1.6e-05 1.3e-02 9.5e-04 1.00e+00 1.665616161e+02 1.665967527e+02 8.2e-09 0.84
52 1.4e-05 1.3e-02 8.6e-04 1.00e+00 1.665639547e+02 1.665955771e+02 7.4e-09 0.85
53 1.3e-05 1.2e-02 7.7e-04 1.00e+00 1.665660569e+02 1.665945167e+02 6.6e-09 0.87
54 1.1e-05 1.2e-02 6.9e-04 1.00e+00 1.665679468e+02 1.665935603e+02 6.0e-09 0.88
55 1.0e-05 1.1e-02 6.2e-04 1.00e+00 1.665696461e+02 1.665926981e+02 5.4e-09 0.89
56 9.3e-06 1.1e-02 5.6e-04 1.00e+00 1.665711741e+02 1.665919207e+02 4.8e-09 0.90
57 8.3e-06 1.1e-02 5.1e-04 1.00e+00 1.665725482e+02 1.665912200e+02 4.4e-09 0.92
58 7.5e-06 1.1e-02 4.6e-04 1.00e+00 1.665737839e+02 1.665905885e+02 3.9e-09 0.93
59 6.8e-06 1.0e-02 4.1e-04 1.00e+00 1.665748953e+02 1.665900194e+02 3.5e-09 0.94
60 6.1e-06 1.0e-02 3.7e-04 1.00e+00 1.665758949e+02 1.665895066e+02 3.2e-09 0.96
61 5.5e-06 1.0e-02 3.3e-04 1.00e+00 1.665767940e+02 1.665890446e+02 2.9e-09 0.98
62 4.9e-06 9.8e-03 3.0e-04 1.00e+00 1.665776028e+02 1.665886283e+02 2.6e-09 0.99
63 4.4e-06 9.6e-03 2.7e-04 1.00e+00 1.665783302e+02 1.665882532e+02 2.3e-09 1.01
64 4.0e-06 9.5e-03 2.4e-04 1.00e+00 1.665789845e+02 1.665879153e+02 2.1e-09 1.02
65 3.6e-06 9.4e-03 2.2e-04 1.00e+00 1.665795730e+02 1.665876107e+02 1.9e-09 1.04
66 3.2e-06 9.2e-03 2.0e-04 1.00e+00 1.665801023e+02 1.665873363e+02 1.7e-09 1.05
67 2.9e-06 9.1e-03 1.8e-04 1.00e+00 1.665805784e+02 1.665870890e+02 1.5e-09 1.06
68 2.6e-06 9.0e-03 1.6e-04 1.00e+00 1.665810065e+02 1.665868661e+02 1.4e-09 1.08
69 2.4e-06 9.0e-03 1.4e-04 1.00e+00 1.665813916e+02 1.665866653e+02 1.2e-09 1.09
70 2.1e-06 8.9e-03 1.3e-04 1.00e+00 1.665817381e+02 1.665864844e+02 1.1e-09 1.11
71 1.9e-06 8.8e-03 1.2e-04 1.00e+00 1.665820498e+02 1.665863215e+02 1.0e-09 1.12
72 1.7e-06 8.7e-03 1.0e-04 1.00e+00 1.665823301e+02 1.665861747e+02 9.0e-10 1.13
73 1.5e-06 8.7e-03 9.4e-05 1.00e+00 1.665825824e+02 1.665860425e+02 8.1e-10 1.14
74 1.4e-06 8.6e-03 8.4e-05 1.00e+00 1.665828093e+02 1.665859235e+02 7.3e-10 1.16
75 1.3e-06 8.6e-03 7.6e-05 1.00e+00 1.665830134e+02 1.665858162e+02 6.5e-10 1.17
76 1.1e-06 8.5e-03 6.8e-05 1.00e+00 1.665831971e+02 1.665857196e+02 5.9e-10 1.19
77 1.0e-06 8.5e-03 6.2e-05 1.00e+00 1.665833623e+02 1.665856326e+02 5.3e-10 1.20
78 9.1e-07 8.4e-03 5.5e-05 1.00e+00 1.665835109e+02 1.665855542e+02 4.8e-10 1.22
79 8.2e-07 8.4e-03 5.0e-05 1.00e+00 1.665836446e+02 1.665854835e+02 4.3e-10 1.23
80 7.4e-07 8.4e-03 4.5e-05 1.00e+00 1.665837648e+02 1.665854199e+02 3.9e-10 1.24
81 6.7e-07 8.3e-03 4.0e-05 1.00e+00 1.665838730e+02 1.665853626e+02 3.5e-10 1.26
82 6.0e-07 8.3e-03 3.6e-05 1.00e+00 1.665839703e+02 1.665853109e+02 3.1e-10 1.27
83 5.4e-07 8.3e-03 3.3e-05 1.00e+00 1.665840577e+02 1.665852643e+02 2.8e-10 1.28
84 4.9e-07 8.3e-03 2.9e-05 1.00e+00 1.665841364e+02 1.665852223e+02 2.5e-10 1.30
85 4.4e-07 8.2e-03 2.7e-05 1.00e+00 1.665842071e+02 1.665851845e+02 2.3e-10 1.31
86 3.9e-07 8.2e-03 2.4e-05 1.00e+00 1.665842708e+02 1.665851503e+02 2.1e-10 1.32
87 3.5e-07 8.2e-03 2.1e-05 1.00e+00 1.665843280e+02 1.665851196e+02 1.8e-10 1.34
88 3.2e-07 8.2e-03 1.9e-05 1.00e+00 1.665843794e+02 1.665850919e+02 1.7e-10 1.35
89 2.9e-07 8.2e-03 1.7e-05 1.00e+00 1.665844257e+02 1.665850669e+02 1.5e-10 1.36
90 2.6e-07 8.1e-03 1.6e-05 1.00e+00 1.665844673e+02 1.665850444e+02 1.3e-10 1.38
91 2.3e-07 8.1e-03 1.4e-05 1.00e+00 1.665845047e+02 1.665850241e+02 1.2e-10 1.39
92 2.1e-07 8.1e-03 1.3e-05 1.00e+00 1.665845384e+02 1.665850058e+02 1.1e-10 1.40
93 1.9e-07 8.1e-03 1.1e-05 1.00e+00 1.665845687e+02 1.665849894e+02 9.8e-11 1.42
94 1.7e-07 8.1e-03 1.0e-05 1.00e+00 1.665845959e+02 1.665849745e+02 8.8e-11 1.43
95 1.5e-07 8.1e-03 9.2e-06 1.00e+00 1.665846204e+02 1.665849611e+02 8.0e-11 1.44
96 1.4e-07 8.1e-03 8.3e-06 1.00e+00 1.665846425e+02 1.665849491e+02 7.2e-11 1.45
97 1.2e-07 8.0e-03 7.5e-06 9.98e-01 1.665846623e+02 1.665849383e+02 6.4e-11 1.47
98 1.1e-07 8.0e-03 6.7e-06 1.00e+00 1.665846801e+02 1.665849285e+02 5.8e-11 1.48
99 1.0e-07 8.0e-03 6.1e-06 1.00e+00 1.665846962e+02 1.665849197e+02 5.2e-11 1.49
100 9.0e-08 8.0e-03 5.5e-06 9.96e-01 1.665847106e+02 1.665849118e+02 4.7e-11 1.51
101 8.1e-08 7.2e-03 4.9e-06 1.01e+00 1.665847239e+02 1.665849045e+02 4.2e-11 1.52
102 7.3e-08 6.5e-03 4.4e-06 1.00e+00 1.665847355e+02 1.665848981e+02 3.8e-11 1.53
103 6.6e-08 5.8e-03 4.0e-06 1.01e+00 1.665847461e+02 1.665848923e+02 3.4e-11 1.54
104 5.9e-08 5.2e-03 3.6e-06 1.00e+00 1.665847556e+02 1.665848871e+02 3.1e-11 1.55
105 5.3e-08 4.7e-03 3.2e-06 9.92e-01 1.665847641e+02 1.665848825e+02 2.8e-11 1.57
106 4.8e-08 4.2e-03 2.9e-06 1.01e+00 1.665847719e+02 1.665848781e+02 2.5e-11 1.58
107 4.3e-08 3.8e-03 2.6e-06 9.94e-01 1.665847787e+02 1.665848744e+02 2.3e-11 1.59
108 3.9e-08 3.4e-03 2.4e-06 1.02e+00 1.665847853e+02 1.665848708e+02 2.0e-11 1.61
109 3.5e-08 3.1e-03 2.1e-06 1.02e+00 1.665847913e+02 1.665848674e+02 1.9e-11 1.62
110 3.1e-08 2.8e-03 1.9e-06 1.01e+00 1.665847964e+02 1.665848646e+02 1.7e-11 1.63
111 2.8e-08 2.5e-03 1.7e-06 1.00e+00 1.665848008e+02 1.665848622e+02 1.5e-11 1.64
112 2.5e-08 2.3e-03 1.5e-06 1.01e+00 1.665848048e+02 1.665848599e+02 1.4e-11 1.65
113 2.3e-08 2.0e-03 1.4e-06 9.90e-01 1.665848084e+02 1.665848580e+02 1.2e-11 1.66
114 2.1e-08 1.8e-03 1.2e-06 1.01e+00 1.665848117e+02 1.665848562e+02 1.1e-11 1.68
115 1.9e-08 1.6e-03 1.1e-06 9.91e-01 1.665848146e+02 1.665848546e+02 1.0e-11 1.69
116 1.7e-08 1.5e-03 1.0e-06 1.04e+00 1.665848176e+02 1.665848529e+02 9.1e-12 1.70
117 1.5e-08 1.3e-03 9.1e-07 9.81e-01 1.665848199e+02 1.665848517e+02 8.2e-12 1.71
118 1.4e-08 1.2e-03 8.2e-07 9.40e-01 1.665848218e+02 1.665848509e+02 7.4e-12 1.72
119 1.3e-08 1.1e-03 7.4e-07 9.75e-01 1.665848237e+02 1.665848498e+02 6.7e-12 1.73
120 1.2e-08 9.7e-04 6.6e-07 1.04e+00 1.665848257e+02 1.665848486e+02 6.1e-12 1.74
121 1.1e-08 8.7e-04 6.0e-07 9.24e-01 1.665848271e+02 1.665848479e+02 5.5e-12 1.76
122 1.0e-08 7.9e-04 5.4e-07 9.49e-01 1.665848284e+02 1.665848471e+02 5.0e-12 1.77
123 9.0e-09 7.1e-04 4.8e-07 9.88e-01 1.665848296e+02 1.665848465e+02 4.5e-12 1.78
124 9.1e-09 6.4e-04 4.4e-07 1.21e+00 1.665848317e+02 1.665848451e+02 4.4e-12 1.79
125 2.2e-08 4.1e-05 2.8e-08 7.19e-01 1.665848407e+02 1.665848417e+02 8.1e-13 1.80
Optimizer terminated. Time: 1.81
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6658484067e+02 nrm: 2e+01 Viol. con: 3e-07 var: 0e+00
Dual. obj: 1.6658484168e+02 nrm: 9e+02 Viol. con: 0e+00 var: 3e-04
* End solution on dual form. *
Transforming to primal solution.
Solving took 1.86 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer - threads : 8
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.50e+04 after factor : 1.56e+05
Factor - dense dim. : 0 flops : 3.20e+07
Factor - GP saved nzs : 3.39e+04 GP saved flops : 9.49e+05
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+03 3.1e+03 1.2e+05 0.00e+00 -1.230611881e+05 2.000000000e+00 1.0e+00 0.07
1 1.7e+03 2.3e+03 9.0e+04 -9.71e-01 -1.223441368e+05 2.620938639e+00 7.3e-01 0.08
2 8.8e+02 1.2e+03 4.7e+04 -9.60e-01 -1.200465377e+05 4.604948714e+00 3.9e-01 0.09
3 2.9e+02 4.0e+02 1.6e+04 -9.22e-01 -1.111151138e+05 1.975184793e+01 1.3e-01 0.10
4 2.9e+02 4.0e+02 1.6e+04 -7.74e-01 -1.087861306e+05 2.021678102e+03 1.3e-01 0.11
5 1.2e+02 1.6e+02 6.2e+03 -7.62e-01 -8.653225486e+04 6.546117369e+03 5.1e-02 0.12
6 3.2e+01 4.3e+01 1.7e+03 -4.34e-01 -3.914783924e+04 1.209029789e+04 1.4e-02 0.13
7 2.0e+01 2.7e+01 1.1e+03 3.80e-01 -2.753432893e+04 7.574580092e+03 8.8e-03 0.14
8 1.0e+01 1.4e+01 5.5e+02 6.05e-01 -1.530350375e+04 4.262337792e+03 4.5e-03 0.15
9 3.8e+00 5.2e+00 2.0e+02 8.13e-01 -5.768018808e+03 1.912414976e+03 1.7e-03 0.16
10 2.0e+00 2.8e+00 1.1e+02 9.53e-01 -2.976324134e+03 1.211904318e+03 9.2e-04 0.18
11 8.2e-01 1.1e+00 4.5e+01 9.88e-01 -1.098329481e+03 6.155118240e+02 3.8e-04 0.19
12 8.0e-01 1.1e+00 4.4e+01 9.52e-01 -1.086363636e+03 5.941279239e+02 3.6e-04 0.20
13 5.0e-01 7.0e-01 2.8e+01 9.73e-01 -6.382068504e+02 4.268986407e+02 2.3e-04 0.21
14 3.0e-01 4.3e-01 1.7e+01 1.00e+00 -3.113071990e+02 3.356700674e+02 1.4e-04 0.22
15 1.0e-01 1.7e-01 5.9e+00 1.00e+00 -1.403910937e+01 2.118139955e+02 5.0e-05 0.24
16 8.4e-02 1.4e-01 4.7e+00 1.02e+00 2.609467172e+01 2.065507859e+02 4.0e-05 0.25
17 5.2e-02 1.0e-01 3.0e+00 1.02e+00 8.006929237e+01 1.917367574e+02 2.5e-05 0.26
18 1.3e-02 1.4e-01 7.4e-01 1.02e+00 1.458526929e+02 1.737480745e+02 6.2e-06 0.27
19 4.4e-03 1.6e-01 2.5e-01 1.00e+00 1.595362517e+02 1.690543562e+02 2.1e-06 0.28
20 2.7e-03 1.9e-01 1.6e-01 1.01e+00 1.622634908e+02 1.680635327e+02 1.3e-06 0.29
21 8.8e-04 1.2e-01 5.3e-02 1.01e+00 1.651186851e+02 1.670867240e+02 4.5e-07 0.30
22 4.3e-04 8.9e-02 2.6e-02 1.01e+00 1.658315942e+02 1.668024450e+02 2.2e-07 0.32
23 1.7e-04 8.9e-02 1.0e-02 1.01e+00 1.662459263e+02 1.666330024e+02 9.0e-08 0.34
24 1.5e-04 8.2e-02 9.4e-03 1.01e+00 1.662759967e+02 1.666243281e+02 8.1e-08 0.36
25 1.4e-04 7.5e-02 8.5e-03 1.01e+00 1.663000752e+02 1.666134496e+02 7.3e-08 0.37
26 1.2e-04 6.8e-02 7.6e-03 1.01e+00 1.663219893e+02 1.666039398e+02 6.6e-08 0.38
27 1.1e-04 6.2e-02 6.9e-03 1.01e+00 1.663415972e+02 1.665952813e+02 5.9e-08 0.39
28 1.0e-04 5.7e-02 6.2e-03 1.01e+00 1.663591969e+02 1.665874545e+02 5.3e-08 0.41
29 9.0e-05 5.2e-02 5.6e-03 1.01e+00 1.663749854e+02 1.665803697e+02 4.8e-08 0.42
30 8.1e-05 4.7e-02 5.0e-03 1.01e+00 1.663891517e+02 1.665739588e+02 4.3e-08 0.43
31 7.3e-05 4.3e-02 4.5e-03 1.01e+00 1.664018633e+02 1.665681580e+02 3.9e-08 0.45
32 6.6e-05 4.0e-02 4.0e-03 1.01e+00 1.664132709e+02 1.665629103e+02 3.5e-08 0.46
33 5.9e-05 3.7e-02 3.6e-03 1.01e+00 1.664235093e+02 1.665581639e+02 3.1e-08 0.48
34 5.3e-05 3.4e-02 3.3e-03 1.00e+00 1.664326994e+02 1.665538715e+02 2.8e-08 0.49
35 4.8e-05 3.1e-02 3.0e-03 1.00e+00 1.664409494e+02 1.665499905e+02 2.6e-08 0.50
36 4.3e-05 2.9e-02 2.7e-03 1.00e+00 1.664483563e+02 1.665464821e+02 2.3e-08 0.52
37 3.9e-05 2.7e-02 2.4e-03 1.00e+00 1.664550068e+02 1.665433111e+02 2.1e-08 0.53
38 3.5e-05 2.5e-02 2.2e-03 1.00e+00 1.664609789e+02 1.665404454e+02 1.9e-08 0.54
39 3.2e-05 2.3e-02 1.9e-03 1.00e+00 1.664663422e+02 1.665378563e+02 1.7e-08 0.56
40 2.8e-05 2.2e-02 1.7e-03 1.00e+00 1.664711593e+02 1.665355173e+02 1.5e-08 0.58
41 2.6e-05 2.0e-02 1.6e-03 1.00e+00 1.664754864e+02 1.665334048e+02 1.4e-08 0.59
42 2.3e-05 1.9e-02 1.4e-03 1.00e+00 1.664793735e+02 1.665314971e+02 1.2e-08 0.61
43 2.1e-05 1.8e-02 1.3e-03 1.00e+00 1.664828659e+02 1.665297747e+02 1.1e-08 0.62
44 1.9e-05 1.7e-02 1.1e-03 1.00e+00 1.664860039e+02 1.665282200e+02 9.9e-09 0.64
45 1.7e-05 1.6e-02 1.0e-03 1.00e+00 1.664888239e+02 1.665268169e+02 8.9e-09 0.65
46 1.5e-05 1.5e-02 9.3e-04 1.00e+00 1.664913583e+02 1.665255509e+02 8.0e-09 0.66
47 1.4e-05 1.5e-02 8.3e-04 1.00e+00 1.664936364e+02 1.665244088e+02 7.2e-09 0.67
48 1.2e-05 1.4e-02 7.5e-04 1.00e+00 1.664956842e+02 1.665233787e+02 6.5e-09 0.68
49 1.1e-05 1.3e-02 6.8e-04 1.00e+00 1.664975253e+02 1.665224498e+02 5.8e-09 0.69
50 9.9e-06 1.3e-02 6.1e-04 1.00e+00 1.664991807e+02 1.665216124e+02 5.3e-09 0.70
51 8.9e-06 1.2e-02 5.5e-04 1.00e+00 1.665006693e+02 1.665208575e+02 4.7e-09 0.71
52 8.0e-06 1.2e-02 4.9e-04 1.00e+00 1.665020079e+02 1.665201770e+02 4.3e-09 0.72
53 7.2e-06 1.2e-02 4.4e-04 1.00e+00 1.665032118e+02 1.665195639e+02 3.8e-09 0.73
54 6.5e-06 1.1e-02 4.0e-04 1.00e+00 1.665042945e+02 1.665190113e+02 3.5e-09 0.74
55 5.8e-06 1.1e-02 3.6e-04 1.00e+00 1.665052684e+02 1.665185134e+02 3.1e-09 0.76
56 5.3e-06 1.1e-02 3.2e-04 1.00e+00 1.665061443e+02 1.665180648e+02 2.8e-09 0.77
57 4.7e-06 1.0e-02 2.9e-04 1.00e+00 1.665069322e+02 1.665176607e+02 2.5e-09 0.78
58 4.3e-06 1.0e-02 2.6e-04 1.00e+00 1.665076409e+02 1.665172965e+02 2.3e-09 0.79
59 3.8e-06 1.0e-02 2.4e-04 1.00e+00 1.665082783e+02 1.665169683e+02 2.0e-09 0.80
60 3.4e-06 9.8e-03 2.1e-04 1.00e+00 1.665088516e+02 1.665166726e+02 1.8e-09 0.81
61 3.1e-06 9.7e-03 1.9e-04 1.00e+00 1.665093672e+02 1.665164062e+02 1.7e-09 0.83
62 2.8e-06 9.5e-03 1.7e-04 1.00e+00 1.665098310e+02 1.665161661e+02 1.5e-09 0.84
63 2.5e-06 9.4e-03 1.5e-04 1.00e+00 1.665102482e+02 1.665159498e+02 1.3e-09 0.86
64 2.3e-06 9.2e-03 1.4e-04 1.00e+00 1.665106235e+02 1.665157550e+02 1.2e-09 0.88
65 2.0e-06 9.1e-03 1.3e-04 1.00e+00 1.665109612e+02 1.665155795e+02 1.1e-09 0.90
66 1.8e-06 9.0e-03 1.1e-04 1.00e+00 1.665112650e+02 1.665154215e+02 9.8e-10 0.90
67 1.6e-06 8.9e-03 1.0e-04 1.00e+00 1.665115383e+02 1.665152792e+02 8.8e-10 0.91
68 1.5e-06 8.8e-03 9.1e-05 1.00e+00 1.665117843e+02 1.665151511e+02 7.9e-10 0.92
69 1.3e-06 8.8e-03 8.2e-05 1.00e+00 1.665120056e+02 1.665150357e+02 7.1e-10 0.93
70 1.2e-06 8.7e-03 7.4e-05 1.00e+00 1.665122047e+02 1.665149318e+02 6.4e-10 0.95
71 1.1e-06 8.6e-03 6.7e-05 1.00e+00 1.665123838e+02 1.665148383e+02 5.8e-10 0.96
72 9.7e-07 8.6e-03 6.0e-05 1.00e+00 1.665125450e+02 1.665147540e+02 5.2e-10 0.97
73 8.8e-07 8.5e-03 5.4e-05 1.00e+00 1.665126900e+02 1.665146781e+02 4.7e-10 0.98
74 7.9e-07 8.5e-03 4.9e-05 1.00e+00 1.665128204e+02 1.665146098e+02 4.2e-10 0.99
75 7.1e-07 8.4e-03 4.4e-05 1.00e+00 1.665129378e+02 1.665145482e+02 3.8e-10 1.00
76 6.4e-07 8.4e-03 3.9e-05 1.00e+00 1.665130433e+02 1.665144927e+02 3.4e-10 1.01
77 5.8e-07 8.3e-03 3.5e-05 1.00e+00 1.665131383e+02 1.665144428e+02 3.1e-10 1.02
78 5.2e-07 8.3e-03 3.2e-05 1.00e+00 1.665132237e+02 1.665143977e+02 2.8e-10 1.04
79 4.7e-07 8.3e-03 2.9e-05 1.00e+00 1.665133005e+02 1.665143572e+02 2.5e-10 1.05
80 4.2e-07 8.2e-03 2.6e-05 1.00e+00 1.665133696e+02 1.665143206e+02 2.2e-10 1.06
81 3.8e-07 8.2e-03 2.3e-05 1.00e+00 1.665134318e+02 1.665142876e+02 2.0e-10 1.07
82 3.4e-07 8.2e-03 2.1e-05 1.00e+00 1.665134876e+02 1.665142579e+02 1.8e-10 1.09
83 3.1e-07 8.1e-03 1.9e-05 1.00e+00 1.665135379e+02 1.665142312e+02 1.6e-10 1.09
84 2.8e-07 8.1e-03 1.7e-05 1.00e+00 1.665135831e+02 1.665142071e+02 1.5e-10 1.10
85 2.5e-07 8.1e-03 1.5e-05 1.00e+00 1.665136238e+02 1.665141854e+02 1.3e-10 1.11
86 2.2e-07 8.1e-03 1.4e-05 1.00e+00 1.665136604e+02 1.665141659e+02 1.2e-10 1.12
87 2.0e-07 8.0e-03 1.2e-05 1.00e+00 1.665136933e+02 1.665141483e+02 1.1e-10 1.13
88 1.8e-07 8.0e-03 1.1e-05 1.00e+00 1.665137229e+02 1.665141324e+02 9.6e-11 1.14
89 1.6e-07 8.0e-03 1.0e-05 1.00e+00 1.665137496e+02 1.665141181e+02 8.7e-11 1.15
90 1.5e-07 8.0e-03 9.0e-06 1.00e+00 1.665137736e+02 1.665141052e+02 7.8e-11 1.16
91 1.3e-07 8.0e-03 8.1e-06 9.99e-01 1.665137951e+02 1.665140936e+02 7.0e-11 1.18
92 1.2e-07 8.0e-03 7.3e-06 9.99e-01 1.665138146e+02 1.665140832e+02 6.3e-11 1.19
93 1.1e-07 7.9e-03 6.6e-06 9.98e-01 1.665138320e+02 1.665140738e+02 5.7e-11 1.20
94 9.6e-08 7.9e-03 5.9e-06 1.00e+00 1.665138477e+02 1.665140653e+02 5.1e-11 1.21
95 8.7e-08 7.9e-03 5.3e-06 1.00e+00 1.665138619e+02 1.665140577e+02 4.6e-11 1.22
96 7.8e-08 7.9e-03 4.8e-06 1.00e+00 1.665138746e+02 1.665140509e+02 4.1e-11 1.23
97 7.0e-08 7.9e-03 4.3e-06 1.00e+00 1.665138861e+02 1.665140447e+02 3.7e-11 1.24
98 6.3e-08 7.9e-03 3.9e-06 9.99e-01 1.665138964e+02 1.665140391e+02 3.4e-11 1.25
99 5.7e-08 7.9e-03 3.5e-06 1.00e+00 1.665139056e+02 1.665140341e+02 3.0e-11 1.27
100 5.1e-08 7.9e-03 3.1e-06 1.00e+00 1.665139140e+02 1.665140296e+02 2.7e-11 1.28
101 4.6e-08 7.8e-03 2.8e-06 9.95e-01 1.665139215e+02 1.665140256e+02 2.4e-11 1.29
102 4.2e-08 7.1e-03 2.5e-06 1.01e+00 1.665139283e+02 1.665140219e+02 2.2e-11 1.31
103 3.8e-08 6.4e-03 2.3e-06 9.89e-01 1.665139343e+02 1.665140186e+02 2.0e-11 1.32
104 3.4e-08 5.7e-03 2.1e-06 9.97e-01 1.665139398e+02 1.665140157e+02 1.8e-11 1.33
105 3.0e-08 5.1e-03 1.9e-06 1.01e+00 1.665139450e+02 1.665140128e+02 1.6e-11 1.34
106 2.7e-08 4.6e-03 1.7e-06 9.96e-01 1.665139494e+02 1.665140105e+02 1.5e-11 1.35
107 2.6e-08 4.2e-03 1.5e-06 9.81e-01 1.665139533e+02 1.665140084e+02 1.3e-11 1.37
108 2.4e-08 3.8e-03 1.4e-06 9.98e-01 1.665139569e+02 1.665140064e+02 1.2e-11 1.38
109 2.1e-08 3.4e-03 1.2e-06 9.80e-01 1.665139601e+02 1.665140047e+02 1.1e-11 1.39
110 1.9e-08 3.0e-03 1.1e-06 9.71e-01 1.665139630e+02 1.665140033e+02 9.5e-12 1.41
111 1.6e-08 2.7e-03 9.9e-07 1.03e+00 1.665139659e+02 1.665140016e+02 8.7e-12 1.42
112 1.5e-08 2.5e-03 8.9e-07 1.00e+00 1.665139683e+02 1.665140003e+02 7.8e-12 1.43
113 1.4e-08 2.2e-03 8.0e-07 1.05e+00 1.665139708e+02 1.665139989e+02 7.2e-12 1.45
114 1.3e-08 2.0e-03 7.2e-07 1.07e+00 1.665139732e+02 1.665139975e+02 6.7e-12 1.46
115 1.2e-08 1.8e-03 6.5e-07 9.67e-01 1.665139747e+02 1.665139970e+02 6.1e-12 1.48
116 1.5e-08 1.6e-03 5.8e-07 1.03e+00 1.665139763e+02 1.665139963e+02 5.5e-12 1.49
117 1.5e-08 1.5e-03 5.2e-07 1.13e+00 1.665139783e+02 1.665139949e+02 5.3e-12 1.50
118 1.3e-08 1.3e-03 4.7e-07 1.08e+00 1.665139798e+02 1.665139941e+02 5.0e-12 1.52
119 2.4e-08 1.2e-03 4.3e-07 7.80e-01 1.665139803e+02 1.665139946e+02 4.6e-12 1.53
120 1.6e-08 1.1e-03 3.9e-07 9.11e-01 1.665139812e+02 1.665139936e+02 4.1e-12 1.55
121 1.9e-08 9.7e-04 3.5e-07 9.65e-01 1.665139820e+02 1.665139931e+02 3.7e-12 1.57
122 1.7e-08 8.8e-04 3.2e-07 1.02e+00 1.665139827e+02 1.665139928e+02 3.3e-12 1.58
123 2.6e-08 7.9e-04 2.8e-07 1.18e+00 1.665139839e+02 1.665139920e+02 3.3e-12 1.59
124 2.3e-08 7.1e-04 2.6e-07 9.28e-01 1.665139844e+02 1.665139917e+02 3.0e-12 1.60
125 1.4e-08 6.4e-04 2.3e-07 1.04e+00 1.665139849e+02 1.665139914e+02 2.7e-12 1.61
126 1.6e-08 5.7e-04 2.1e-07 1.16e+00 1.665139856e+02 1.665139909e+02 2.6e-12 1.63
127 1.5e-08 5.2e-04 1.9e-07 1.01e+00 1.665139860e+02 1.665139907e+02 2.4e-12 1.64
128 1.4e-08 4.7e-04 1.7e-07 1.03e+00 1.665139863e+02 1.665139905e+02 2.2e-12 1.66
129 1.3e-08 4.2e-04 1.5e-07 9.25e-01 1.665139866e+02 1.665139904e+02 2.0e-12 1.67
130 1.1e-08 3.8e-04 1.4e-07 9.63e-01 1.665139868e+02 1.665139902e+02 1.8e-12 1.68
131 1.0e-08 3.4e-04 1.2e-07 9.55e-01 1.665139871e+02 1.665139901e+02 1.6e-12 1.69
132 1.0e-08 3.1e-04 1.1e-07 1.15e+00 1.665139874e+02 1.665139899e+02 1.5e-12 1.70
133 1.1e-08 2.8e-04 1.0e-07 1.10e+00 1.665139876e+02 1.665139898e+02 1.5e-12 1.71
134 9.7e-09 2.5e-04 9.0e-08 1.08e+00 1.665139878e+02 1.665139897e+02 1.4e-12 1.72
135 7.6e-09 2.3e-04 8.1e-08 9.74e-01 1.665139879e+02 1.665139896e+02 1.2e-12 1.74
136 6.7e-09 2.0e-04 7.3e-08 1.00e+00 1.665139880e+02 1.665139895e+02 1.1e-12 1.75
137 8.4e-09 1.8e-04 6.6e-08 1.09e+00 1.665139882e+02 1.665139894e+02 1.0e-12 1.76
138 2.3e-08 1.6e-04 5.9e-08 3.94e-01 1.665139883e+02 1.665139895e+02 9.5e-13 1.77
Optimizer terminated. Time: 1.78
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6651398825e+02 nrm: 2e+01 Viol. con: 2e-07 var: 0e+00
Dual. obj: 1.6651398946e+02 nrm: 1e+03 Viol. con: 0e+00 var: 6e-04
* End solution on dual form. *
Transforming to primal solution.
Solving took 1.81 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer - threads : 8
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.50e+04 after factor : 1.56e+05
Factor - dense dim. : 0 flops : 3.20e+07
Factor - GP saved nzs : 3.39e+04 GP saved flops : 9.49e+05
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+03 3.1e+03 1.2e+05 0.00e+00 -1.230573704e+05 2.000000000e+00 1.0e+00 0.08
1 1.7e+03 2.3e+03 9.0e+04 -9.71e-01 -1.223407902e+05 2.619867529e+00 7.3e-01 0.10
2 8.8e+02 1.2e+03 4.7e+04 -9.60e-01 -1.200445022e+05 4.599778120e+00 3.9e-01 0.11
3 2.9e+02 4.0e+02 1.6e+04 -9.22e-01 -1.110865099e+05 1.974651754e+01 1.3e-01 0.13
4 2.9e+02 3.9e+02 1.6e+04 -7.73e-01 -1.087571282e+05 2.019623642e+03 1.3e-01 0.14
5 1.1e+02 1.6e+02 6.2e+03 -7.62e-01 -8.628756107e+04 6.572170158e+03 5.1e-02 0.16
6 2.9e+01 3.9e+01 1.5e+03 -4.31e-01 -3.583110015e+04 1.241254876e+04 1.3e-02 0.17
7 1.8e+01 2.5e+01 9.9e+02 4.42e-01 -2.572253328e+04 7.437526460e+03 8.2e-03 0.19
8 1.0e+01 1.4e+01 5.5e+02 6.38e-01 -1.538642073e+04 4.402673042e+03 4.6e-03 0.20
9 3.9e+00 5.4e+00 2.1e+02 8.12e-01 -6.037711822e+03 1.965907967e+03 1.8e-03 0.21
10 2.0e+00 2.8e+00 1.1e+02 9.49e-01 -2.981378032e+03 1.206070439e+03 9.1e-04 0.23
11 8.3e-01 1.1e+00 4.5e+01 9.88e-01 -1.104637486e+03 6.251152130e+02 3.8e-04 0.24
12 8.1e-01 1.1e+00 4.4e+01 9.51e-01 -1.096183174e+03 6.036405248e+02 3.7e-04 0.26
13 5.1e-01 7.0e-01 2.8e+01 9.71e-01 -6.485731795e+02 4.328102792e+02 2.3e-04 0.27
14 3.1e-01 4.4e-01 1.7e+01 1.00e+00 -3.267086330e+02 3.428399197e+02 1.5e-04 0.29
15 1.0e-01 1.7e-01 5.9e+00 1.00e+00 -1.400872579e+01 2.122272385e+02 5.0e-05 0.30
16 8.4e-02 1.4e-01 4.7e+00 1.02e+00 2.558860642e+01 2.066913015e+02 4.0e-05 0.31
17 5.1e-02 1.0e-01 2.9e+00 1.02e+00 8.246840009e+01 1.911952965e+02 2.4e-05 0.33
18 1.3e-02 1.6e-01 7.2e-01 1.02e+00 1.466228034e+02 1.735082779e+02 6.0e-06 0.34
19 4.1e-03 1.9e-01 2.4e-01 1.00e+00 1.598623358e+02 1.688786045e+02 2.0e-06 0.36
20 2.1e-03 2.2e-01 1.2e-01 1.01e+00 1.631452981e+02 1.676934647e+02 1.0e-06 0.37
21 6.1e-04 1.5e-01 3.7e-02 1.01e+00 1.655066589e+02 1.668798180e+02 3.2e-07 0.39
22 3.6e-04 1.1e-01 2.2e-02 1.00e+00 1.659040627e+02 1.667134256e+02 1.9e-07 0.40
23 2.3e-04 8.1e-02 1.4e-02 9.87e-01 1.661102248e+02 1.666294592e+02 1.2e-07 0.41
24 1.9e-04 6.7e-02 1.2e-02 9.98e-01 1.661771282e+02 1.666075014e+02 1.0e-07 0.42
25 1.7e-04 6.2e-02 1.0e-02 1.01e+00 1.662075459e+02 1.665946191e+02 9.0e-08 0.44
26 1.5e-04 5.6e-02 9.4e-03 1.01e+00 1.662345037e+02 1.665827399e+02 8.1e-08 0.45
27 1.4e-04 5.2e-02 8.5e-03 1.00e+00 1.662588506e+02 1.665722205e+02 7.3e-08 0.47
28 1.2e-04 4.7e-02 7.6e-03 1.00e+00 1.662806759e+02 1.665626732e+02 6.6e-08 0.49
29 1.1e-04 4.3e-02 6.9e-03 1.00e+00 1.663002675e+02 1.665540384e+02 5.9e-08 0.50
30 1.0e-04 4.0e-02 6.2e-03 1.00e+00 1.663178514e+02 1.665462249e+02 5.3e-08 0.51
31 9.0e-05 3.6e-02 5.6e-03 1.00e+00 1.663336348e+02 1.665391558e+02 4.8e-08 0.53
32 8.1e-05 3.3e-02 5.0e-03 1.00e+00 1.663478028e+02 1.665327603e+02 4.3e-08 0.54
33 7.3e-05 3.1e-02 4.5e-03 1.00e+00 1.663605215e+02 1.665269749e+02 3.9e-08 0.55
34 6.6e-05 2.9e-02 4.0e-03 1.00e+00 1.663719399e+02 1.665217418e+02 3.5e-08 0.57
35 5.9e-05 2.6e-02 3.6e-03 1.00e+00 1.663821920e+02 1.665170092e+02 3.1e-08 0.58
36 5.3e-05 2.5e-02 3.3e-03 1.00e+00 1.663913977e+02 1.665127300e+02 2.8e-08 0.60
37 4.8e-05 2.3e-02 3.0e-03 1.00e+00 1.663996647e+02 1.665088613e+02 2.6e-08 0.61
38 4.3e-05 2.1e-02 2.7e-03 1.00e+00 1.664070893e+02 1.665053646e+02 2.3e-08 0.62
39 3.9e-05 2.0e-02 2.4e-03 1.00e+00 1.664137580e+02 1.665022047e+02 2.1e-08 0.64
40 3.5e-05 1.9e-02 2.2e-03 1.00e+00 1.664197484e+02 1.664993496e+02 1.9e-08 0.65
41 3.1e-05 1.8e-02 1.9e-03 1.00e+00 1.664251298e+02 1.664967704e+02 1.7e-08 0.67
42 2.8e-05 1.7e-02 1.7e-03 1.00e+00 1.664299645e+02 1.664944407e+02 1.5e-08 0.68
43 2.5e-05 1.6e-02 1.6e-03 1.00e+00 1.664343083e+02 1.664923368e+02 1.4e-08 0.69
44 2.3e-05 1.5e-02 1.4e-03 1.00e+00 1.664382113e+02 1.664904369e+02 1.2e-08 0.71
45 2.1e-05 1.4e-02 1.3e-03 1.00e+00 1.664417184e+02 1.664887215e+02 1.1e-08 0.73
46 1.9e-05 1.4e-02 1.1e-03 1.00e+00 1.664448701e+02 1.664871730e+02 9.9e-09 0.74
47 1.7e-05 1.3e-02 1.0e-03 1.00e+00 1.664477025e+02 1.664857752e+02 8.9e-09 0.75
48 1.5e-05 1.3e-02 9.3e-04 1.00e+00 1.664502481e+02 1.664845137e+02 8.0e-09 0.77
49 1.4e-05 1.2e-02 8.3e-04 1.00e+00 1.664525362e+02 1.664833754e+02 7.2e-09 0.78
50 1.2e-05 1.2e-02 7.5e-04 1.00e+00 1.664545929e+02 1.664823483e+02 6.5e-09 0.79
51 1.1e-05 1.1e-02 6.8e-04 1.00e+00 1.664564418e+02 1.664814218e+02 5.8e-09 0.81
52 9.8e-06 1.1e-02 6.1e-04 1.00e+00 1.664581039e+02 1.664805861e+02 5.3e-09 0.82
53 8.9e-06 1.1e-02 5.5e-04 1.00e+00 1.664595983e+02 1.664798324e+02 4.7e-09 0.84
54 8.0e-06 1.1e-02 4.9e-04 1.00e+00 1.664609420e+02 1.664791529e+02 4.3e-09 0.86
55 7.2e-06 1.0e-02 4.4e-04 1.00e+00 1.664621502e+02 1.664785401e+02 3.8e-09 0.87
56 6.5e-06 1.0e-02 4.0e-04 1.00e+00 1.664632367e+02 1.664779878e+02 3.5e-09 0.88
57 5.8e-06 9.9e-03 3.6e-04 1.00e+00 1.664642138e+02 1.664774899e+02 3.1e-09 0.90
58 5.2e-06 9.8e-03 3.2e-04 1.00e+00 1.664650926e+02 1.664770412e+02 2.8e-09 0.91
59 4.7e-06 9.6e-03 2.9e-04 1.00e+00 1.664658829e+02 1.664766367e+02 2.5e-09 0.93
60 4.2e-06 9.5e-03 2.6e-04 1.00e+00 1.664665937e+02 1.664762722e+02 2.3e-09 0.94
61 3.8e-06 9.3e-03 2.4e-04 1.00e+00 1.664672330e+02 1.664759437e+02 2.0e-09 0.95
62 3.4e-06 9.2e-03 2.1e-04 1.00e+00 1.664678079e+02 1.664756477e+02 1.8e-09 0.97
63 3.1e-06 9.1e-03 1.9e-04 1.00e+00 1.664683250e+02 1.664753809e+02 1.7e-09 0.98
64 2.8e-06 9.0e-03 1.7e-04 1.00e+00 1.664687901e+02 1.664751405e+02 1.5e-09 0.99
65 2.5e-06 8.9e-03 1.5e-04 1.00e+00 1.664692085e+02 1.664749239e+02 1.3e-09 1.01
66 2.3e-06 8.8e-03 1.4e-04 1.00e+00 1.664695849e+02 1.664747288e+02 1.2e-09 1.03
67 2.0e-06 8.7e-03 1.3e-04 1.00e+00 1.664699235e+02 1.664745530e+02 1.1e-09 1.05
68 1.8e-06 8.7e-03 1.1e-04 1.00e+00 1.664702282e+02 1.664743948e+02 9.8e-10 1.06
69 1.6e-06 8.6e-03 1.0e-04 1.00e+00 1.664705023e+02 1.664742523e+02 8.8e-10 1.08
70 1.5e-06 8.5e-03 9.1e-05 1.00e+00 1.664707489e+02 1.664741239e+02 7.9e-10 1.09
71 1.3e-06 8.5e-03 8.2e-05 1.00e+00 1.664709708e+02 1.664740084e+02 7.1e-10 1.10
72 1.2e-06 8.4e-03 7.4e-05 1.00e+00 1.664711705e+02 1.664739043e+02 6.4e-10 1.12
73 1.1e-06 8.4e-03 6.7e-05 1.00e+00 1.664713501e+02 1.664738106e+02 5.8e-10 1.14
74 9.7e-07 8.3e-03 6.0e-05 1.00e+00 1.664715118e+02 1.664737262e+02 5.2e-10 1.15
75 8.7e-07 8.3e-03 5.4e-05 1.00e+00 1.664716572e+02 1.664736502e+02 4.7e-10 1.17
76 7.9e-07 8.2e-03 4.9e-05 1.00e+00 1.664717880e+02 1.664735818e+02 4.2e-10 1.18
77 7.1e-07 8.2e-03 4.4e-05 1.00e+00 1.664719057e+02 1.664735201e+02 3.8e-10 1.20
78 6.4e-07 8.2e-03 3.9e-05 1.00e+00 1.664720116e+02 1.664734646e+02 3.4e-10 1.21
79 5.7e-07 8.1e-03 3.5e-05 1.00e+00 1.664721069e+02 1.664734146e+02 3.1e-10 1.23
80 5.2e-07 8.1e-03 3.2e-05 1.00e+00 1.664721926e+02 1.664733695e+02 2.8e-10 1.25
81 4.6e-07 8.1e-03 2.9e-05 1.00e+00 1.664722696e+02 1.664733289e+02 2.5e-10 1.26
82 4.2e-07 8.0e-03 2.6e-05 1.00e+00 1.664723390e+02 1.664732923e+02 2.2e-10 1.27
83 3.8e-07 8.0e-03 2.3e-05 1.00e+00 1.664724013e+02 1.664732593e+02 2.0e-10 1.29
84 3.4e-07 8.0e-03 2.1e-05 1.00e+00 1.664724574e+02 1.664732296e+02 1.8e-10 1.33
85 3.0e-07 8.0e-03 1.9e-05 1.00e+00 1.664725079e+02 1.664732029e+02 1.6e-10 1.34
86 2.7e-07 7.9e-03 1.7e-05 1.00e+00 1.664725532e+02 1.664731787e+02 1.5e-10 1.36
87 2.5e-07 7.9e-03 1.5e-05 1.00e+00 1.664725941e+02 1.664731570e+02 1.3e-10 1.37
88 2.2e-07 7.9e-03 1.4e-05 1.00e+00 1.664726308e+02 1.664731375e+02 1.2e-10 1.39
89 2.0e-07 7.9e-03 1.2e-05 1.00e+00 1.664726639e+02 1.664731199e+02 1.1e-10 1.40
90 1.8e-07 7.9e-03 1.1e-05 1.00e+00 1.664726937e+02 1.664731041e+02 9.6e-11 1.41
91 1.6e-07 7.8e-03 1.0e-05 1.00e+00 1.664727204e+02 1.664730898e+02 8.7e-11 1.44
92 1.5e-07 7.8e-03 9.0e-06 1.00e+00 1.664727445e+02 1.664730770e+02 7.8e-11 1.45
93 1.3e-07 7.8e-03 8.1e-06 1.00e+00 1.664727662e+02 1.664730654e+02 7.0e-11 1.46
94 1.2e-07 7.8e-03 7.3e-06 1.00e+00 1.664727857e+02 1.664730550e+02 6.3e-11 1.48
95 1.1e-07 7.8e-03 6.6e-06 1.00e+00 1.664728033e+02 1.664730456e+02 5.7e-11 1.50
96 9.6e-08 7.8e-03 5.9e-06 1.00e+00 1.664728191e+02 1.664730372e+02 5.1e-11 1.51
97 8.6e-08 7.8e-03 5.3e-06 1.00e+00 1.664728333e+02 1.664730296e+02 4.6e-11 1.53
98 7.7e-08 7.7e-03 4.8e-06 9.99e-01 1.664728461e+02 1.664730229e+02 4.1e-11 1.54
99 7.0e-08 7.7e-03 4.3e-06 1.00e+00 1.664728576e+02 1.664730168e+02 3.7e-11 1.56
100 6.3e-08 7.7e-03 3.9e-06 1.00e+00 1.664728679e+02 1.664730112e+02 3.4e-11 1.58
101 5.6e-08 7.7e-03 3.5e-06 1.00e+00 1.664728772e+02 1.664730063e+02 3.0e-11 1.59
102 5.1e-08 7.7e-03 3.1e-06 1.00e+00 1.664728856e+02 1.664730018e+02 2.7e-11 1.61
103 4.6e-08 7.7e-03 2.8e-06 1.00e+00 1.664728932e+02 1.664729977e+02 2.4e-11 1.63
104 4.1e-08 7.6e-03 2.5e-06 1.00e+00 1.664729000e+02 1.664729941e+02 2.2e-11 1.65
105 3.7e-08 7.6e-03 2.3e-06 1.00e+00 1.664729061e+02 1.664729908e+02 2.0e-11 1.67
106 3.3e-08 7.6e-03 2.1e-06 1.00e+00 1.664729116e+02 1.664729878e+02 1.8e-11 1.68
107 3.0e-08 7.6e-03 1.9e-06 1.00e+00 1.664729166e+02 1.664729852e+02 1.6e-11 1.70
108 2.7e-08 7.6e-03 1.7e-06 1.00e+00 1.664729211e+02 1.664729828e+02 1.4e-11 1.72
109 2.4e-08 7.6e-03 1.5e-06 1.00e+00 1.664729251e+02 1.664729806e+02 1.3e-11 1.73
110 2.2e-08 7.6e-03 1.4e-06 9.98e-01 1.664729287e+02 1.664729787e+02 1.2e-11 1.74
111 2.0e-08 7.6e-03 1.2e-06 9.98e-01 1.664729319e+02 1.664729769e+02 1.1e-11 1.76
112 1.8e-08 7.6e-03 1.1e-06 1.00e+00 1.664729349e+02 1.664729754e+02 9.5e-12 1.77
113 1.6e-08 7.6e-03 9.9e-07 9.99e-01 1.664729375e+02 1.664729740e+02 8.5e-12 1.79
114 1.4e-08 7.6e-03 8.9e-07 1.00e+00 1.664729399e+02 1.664729727e+02 7.7e-12 1.81
115 1.3e-08 6.8e-03 8.0e-07 1.01e+00 1.664729420e+02 1.664729715e+02 6.9e-12 1.82
116 1.2e-08 6.1e-03 7.2e-07 1.00e+00 1.664729440e+02 1.664729705e+02 6.2e-12 1.84
117 1.0e-08 5.5e-03 6.5e-07 9.99e-01 1.664729457e+02 1.664729695e+02 5.6e-12 1.85
118 9.4e-09 5.0e-03 5.8e-07 9.85e-01 1.664729472e+02 1.664729687e+02 5.0e-12 1.87
119 8.5e-09 4.5e-03 5.2e-07 1.00e+00 1.664729486e+02 1.664729680e+02 4.5e-12 1.88
120 7.6e-09 4.0e-03 4.7e-07 1.01e+00 1.664729499e+02 1.664729673e+02 4.1e-12 1.90
121 7.2e-09 3.6e-03 4.2e-07 1.01e+00 1.664729511e+02 1.664729666e+02 3.7e-12 1.91
122 6.5e-09 3.3e-03 3.8e-07 9.94e-01 1.664729521e+02 1.664729661e+02 3.3e-12 1.92
123 5.9e-09 2.9e-03 3.4e-07 1.01e+00 1.664729530e+02 1.664729656e+02 3.0e-12 1.94
124 5.3e-09 2.6e-03 3.1e-07 1.01e+00 1.664729539e+02 1.664729651e+02 2.7e-12 1.95
125 4.7e-09 2.4e-03 2.8e-07 9.88e-01 1.664729546e+02 1.664729647e+02 2.4e-12 1.97
126 4.3e-09 2.1e-03 2.5e-07 1.02e+00 1.664729553e+02 1.664729643e+02 2.2e-12 1.98
127 3.9e-09 1.9e-03 2.3e-07 9.87e-01 1.664729559e+02 1.664729640e+02 2.0e-12 2.00
128 1.3e-08 1.7e-03 2.0e-07 3.28e+00 1.664729557e+02 1.664729665e+02 1.7e-12 2.01
129 1.7e-08 1.6e-03 1.8e-07 1.05e+00 1.664729564e+02 1.664729657e+02 1.5e-12 2.03
130 1.6e-08 1.4e-03 1.6e-07 9.88e-01 1.664729569e+02 1.664729652e+02 1.4e-12 2.04
131 1.4e-08 1.3e-03 1.5e-07 9.82e-01 1.664729573e+02 1.664729648e+02 1.2e-12 2.06
132 1.3e-08 1.1e-03 1.3e-07 1.01e+00 1.664729577e+02 1.664729644e+02 1.1e-12 2.07
133 1.1e-08 1.0e-03 1.2e-07 1.00e+00 1.664729581e+02 1.664729641e+02 1.0e-12 2.09
134 1.0e-08 9.2e-04 1.1e-07 9.86e-01 1.664729584e+02 1.664729638e+02 9.0e-13 2.10
Optimizer terminated. Time: 2.10
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6647295837e+02 nrm: 2e+01 Viol. con: 2e-07 var: 0e+00
Dual. obj: 1.6647296381e+02 nrm: 1e+03 Viol. con: 0e+00 var: 9e-03
* End solution on dual form. *
Transforming to primal solution.
Solving took 2.14 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer - threads : 8
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.07 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.06
Factor - nonzeros before factor : 1.50e+04 after factor : 1.56e+05
Factor - dense dim. : 0 flops : 3.20e+07
Factor - GP saved nzs : 3.39e+04 GP saved flops : 9.49e+05
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+03 3.1e+03 1.2e+05 0.00e+00 -1.230568277e+05 2.000000000e+00 1.0e+00 0.10
1 1.7e+03 2.3e+03 9.0e+04 -9.71e-01 -1.223406229e+05 2.619261621e+00 7.3e-01 0.11
2 8.8e+02 1.2e+03 4.7e+04 -9.60e-01 -1.200441395e+05 4.598229403e+00 3.9e-01 0.12
3 2.9e+02 4.0e+02 1.6e+04 -9.22e-01 -1.110658999e+05 1.975341196e+01 1.3e-01 0.14
4 2.9e+02 3.9e+02 1.6e+04 -7.73e-01 -1.087406541e+05 2.016162173e+03 1.3e-01 0.15
5 1.1e+02 1.6e+02 6.1e+03 -7.62e-01 -8.615697345e+04 6.585721763e+03 5.0e-02 0.17
6 2.7e+01 3.7e+01 1.5e+03 -4.29e-01 -3.436248393e+04 1.253902971e+04 1.2e-02 0.18
7 1.8e+01 2.4e+01 9.5e+02 4.70e-01 -2.476919554e+04 7.290768917e+03 7.8e-03 0.19
8 1.0e+01 1.4e+01 5.5e+02 6.54e-01 -1.533761342e+04 4.443542047e+03 4.6e-03 0.21
9 4.0e+00 5.5e+00 2.2e+02 8.12e-01 -6.190091492e+03 2.005571382e+03 1.8e-03 0.22
10 2.1e+00 2.8e+00 1.1e+02 9.47e-01 -3.026238267e+03 1.210609330e+03 9.2e-04 0.23
11 8.5e-01 1.2e+00 4.6e+01 9.87e-01 -1.130541225e+03 6.381306205e+02 3.9e-04 0.24
12 8.2e-01 1.1e+00 4.5e+01 9.54e-01 -1.118085759e+03 6.145395993e+02 3.7e-04 0.26
13 5.2e-01 7.2e-01 2.9e+01 9.69e-01 -6.761055585e+02 4.421331355e+02 2.4e-04 0.27
14 3.4e-01 4.7e-01 1.9e+01 1.00e+00 -3.592286543e+02 3.572594217e+02 1.5e-04 0.29
15 1.1e-01 1.8e-01 6.0e+00 9.98e-01 -1.693066877e+01 2.138676946e+02 5.0e-05 0.30
16 8.4e-02 1.4e-01 4.7e+00 1.02e+00 2.560647392e+01 2.063005054e+02 4.0e-05 0.32
17 5.5e-02 9.7e-02 3.1e+00 1.02e+00 7.578839717e+01 1.932519988e+02 2.6e-05 0.33
18 1.8e-02 8.6e-02 1.0e+00 1.02e+00 1.380160329e+02 1.757362087e+02 8.5e-06 0.34
19 7.4e-03 8.2e-02 4.2e-01 1.01e+00 1.543601639e+02 1.702186711e+02 3.6e-06 0.35
20 1.7e-03 1.7e-01 1.0e-01 1.01e+00 1.636861473e+02 1.675523481e+02 8.7e-07 0.37
21 1.1e-03 1.2e-01 6.5e-02 9.75e-01 1.647137767e+02 1.671368755e+02 5.5e-07 0.39
22 3.9e-04 1.2e-01 2.4e-02 9.85e-01 1.658192723e+02 1.667300563e+02 2.1e-07 0.40
23 1.7e-04 1.0e-01 1.1e-02 1.00e+00 1.661743202e+02 1.665700603e+02 9.1e-08 0.42
24 6.6e-05 9.1e-02 4.3e-03 1.01e+00 1.663383350e+02 1.664964223e+02 3.7e-08 0.43
25 3.1e-05 8.1e-02 2.0e-03 1.01e+00 1.663958666e+02 1.664703214e+02 1.8e-08 0.44
26 2.8e-05 7.4e-02 1.8e-03 1.01e+00 1.664018696e+02 1.664689178e+02 1.6e-08 0.46
27 2.5e-05 6.7e-02 1.6e-03 1.01e+00 1.664063105e+02 1.664666297e+02 1.4e-08 0.47
28 2.3e-05 6.1e-02 1.5e-03 1.01e+00 1.664104080e+02 1.664646829e+02 1.3e-08 0.49
29 2.0e-05 5.6e-02 1.3e-03 1.01e+00 1.664140731e+02 1.664629089e+02 1.1e-08 0.52
30 1.8e-05 5.1e-02 1.2e-03 1.01e+00 1.664173683e+02 1.664613110e+02 1.0e-08 0.53
31 1.6e-05 4.7e-02 1.1e-03 1.01e+00 1.664203281e+02 1.664598685e+02 9.3e-09 0.54
32 1.5e-05 4.3e-02 9.6e-04 1.00e+00 1.664229875e+02 1.664585671e+02 8.4e-09 0.55
33 1.3e-05 4.0e-02 8.7e-04 1.00e+00 1.664253770e+02 1.664573931e+02 7.5e-09 0.57
34 1.2e-05 3.6e-02 7.8e-04 1.00e+00 1.664275243e+02 1.664563341e+02 6.8e-09 0.58
35 1.1e-05 3.4e-02 7.0e-04 1.00e+00 1.664294540e+02 1.664553789e+02 6.1e-09 0.60
36 9.7e-06 3.1e-02 6.3e-04 1.00e+00 1.664311884e+02 1.664545176e+02 5.5e-09 0.62
37 8.7e-06 2.9e-02 5.7e-04 1.00e+00 1.664327474e+02 1.664537408e+02 5.0e-09 0.63
38 7.9e-06 2.7e-02 5.1e-04 1.00e+00 1.664341487e+02 1.664530406e+02 4.5e-09 0.65
39 7.1e-06 2.5e-02 4.6e-04 1.00e+00 1.664354085e+02 1.664524093e+02 4.0e-09 0.66
40 6.4e-06 2.3e-02 4.1e-04 1.00e+00 1.664365412e+02 1.664518402e+02 3.6e-09 0.67
41 5.7e-06 2.2e-02 3.7e-04 1.00e+00 1.664375595e+02 1.664513273e+02 3.3e-09 0.69
42 5.2e-06 2.0e-02 3.4e-04 1.00e+00 1.664384751e+02 1.664508650e+02 2.9e-09 0.70
43 4.6e-06 1.9e-02 3.0e-04 1.00e+00 1.664392985e+02 1.664504485e+02 2.6e-09 0.72
44 4.2e-06 1.8e-02 2.7e-04 1.00e+00 1.664400389e+02 1.664500731e+02 2.4e-09 0.73
45 3.8e-06 1.7e-02 2.4e-04 1.00e+00 1.664407046e+02 1.664497348e+02 2.1e-09 0.75
46 3.4e-06 1.6e-02 2.2e-04 1.00e+00 1.664413033e+02 1.664494299e+02 1.9e-09 0.77
47 3.0e-06 1.5e-02 2.0e-04 1.00e+00 1.664418417e+02 1.664491552e+02 1.7e-09 0.78
48 2.7e-06 1.5e-02 1.8e-04 1.00e+00 1.664423259e+02 1.664489077e+02 1.6e-09 0.80
49 2.5e-06 1.4e-02 1.6e-04 1.00e+00 1.664427615e+02 1.664486847e+02 1.4e-09 0.82
50 2.2e-06 1.3e-02 1.4e-04 1.00e+00 1.664431532e+02 1.664484839e+02 1.3e-09 0.83
51 2.0e-06 1.3e-02 1.3e-04 1.00e+00 1.664435056e+02 1.664483030e+02 1.1e-09 0.85
52 1.8e-06 1.2e-02 1.2e-04 1.00e+00 1.664438227e+02 1.664481402e+02 1.0e-09 0.86
53 1.6e-06 1.2e-02 1.1e-04 1.00e+00 1.664441080e+02 1.664479936e+02 9.2e-10 0.87
54 1.5e-06 1.1e-02 9.5e-05 1.00e+00 1.664443647e+02 1.664478616e+02 8.3e-10 0.89
55 1.3e-06 1.1e-02 8.5e-05 1.00e+00 1.664445956e+02 1.664477427e+02 7.4e-10 0.90
56 1.2e-06 1.1e-02 7.7e-05 1.00e+00 1.664448034e+02 1.664476357e+02 6.7e-10 0.91
57 1.1e-06 1.0e-02 6.9e-05 1.00e+00 1.664449904e+02 1.664475394e+02 6.0e-10 0.93
58 9.5e-07 1.0e-02 6.2e-05 1.00e+00 1.664451586e+02 1.664474526e+02 5.4e-10 0.94
59 8.6e-07 1.0e-02 5.6e-05 1.00e+00 1.664453100e+02 1.664473745e+02 4.9e-10 0.96
60 7.7e-07 9.7e-03 5.0e-05 1.00e+00 1.664454461e+02 1.664473042e+02 4.4e-10 0.97
61 7.0e-07 9.5e-03 4.5e-05 1.00e+00 1.664455687e+02 1.664472409e+02 4.0e-10 0.99
62 6.3e-07 9.4e-03 4.1e-05 1.00e+00 1.664456789e+02 1.664471839e+02 3.6e-10 1.00
63 5.6e-07 9.2e-03 3.7e-05 1.00e+00 1.664457781e+02 1.664471325e+02 3.2e-10 1.02
64 5.1e-07 9.1e-03 3.3e-05 1.00e+00 1.664458673e+02 1.664470863e+02 2.9e-10 1.03
65 4.6e-07 8.9e-03 3.0e-05 1.00e+00 1.664459475e+02 1.664470446e+02 2.6e-10 1.05
66 4.1e-07 8.8e-03 2.7e-05 1.00e+00 1.664460197e+02 1.664470071e+02 2.3e-10 1.06
67 3.7e-07 8.7e-03 2.4e-05 1.00e+00 1.664460846e+02 1.664469732e+02 2.1e-10 1.07
68 3.3e-07 8.6e-03 2.2e-05 1.00e+00 1.664461430e+02 1.664469428e+02 1.9e-10 1.09
69 3.0e-07 8.5e-03 2.0e-05 1.00e+00 1.664461956e+02 1.664469153e+02 1.7e-10 1.10
70 2.7e-07 8.5e-03 1.8e-05 1.00e+00 1.664462428e+02 1.664468906e+02 1.5e-10 1.12
71 2.4e-07 8.4e-03 1.6e-05 1.00e+00 1.664462854e+02 1.664468684e+02 1.4e-10 1.14
72 2.2e-07 8.3e-03 1.4e-05 1.00e+00 1.664463236e+02 1.664468484e+02 1.2e-10 1.15
73 2.0e-07 8.3e-03 1.3e-05 1.00e+00 1.664463581e+02 1.664468303e+02 1.1e-10 1.16
74 1.8e-07 8.2e-03 1.2e-05 1.00e+00 1.664463891e+02 1.664468141e+02 1.0e-10 1.17
75 1.6e-07 8.2e-03 1.0e-05 1.00e+00 1.664464169e+02 1.664467995e+02 9.1e-11 1.19
76 1.4e-07 8.1e-03 9.3e-06 1.00e+00 1.664464420e+02 1.664467863e+02 8.1e-11 1.20
77 1.3e-07 8.1e-03 8.4e-06 1.00e+00 1.664464646e+02 1.664467745e+02 7.3e-11 1.23
78 1.2e-07 8.0e-03 7.6e-06 1.00e+00 1.664464849e+02 1.664467638e+02 6.6e-11 1.25
79 1.0e-07 8.0e-03 6.8e-06 1.00e+00 1.664465032e+02 1.664467542e+02 5.9e-11 1.27
80 9.4e-08 8.0e-03 6.1e-06 1.00e+00 1.664465197e+02 1.664467456e+02 5.3e-11 1.28
81 8.5e-08 7.9e-03 5.5e-06 1.00e+00 1.664465345e+02 1.664467378e+02 4.8e-11 1.30
82 7.6e-08 7.9e-03 5.0e-06 1.00e+00 1.664465478e+02 1.664467308e+02 4.3e-11 1.32
83 6.9e-08 7.9e-03 4.5e-06 1.00e+00 1.664465598e+02 1.664467245e+02 3.9e-11 1.33
84 6.2e-08 7.9e-03 4.0e-06 1.00e+00 1.664465706e+02 1.664467188e+02 3.5e-11 1.34
85 5.5e-08 7.8e-03 3.6e-06 1.00e+00 1.664465803e+02 1.664467137e+02 3.2e-11 1.36
86 5.0e-08 7.8e-03 3.3e-06 1.00e+00 1.664465891e+02 1.664467091e+02 2.8e-11 1.37
87 4.5e-08 7.8e-03 2.9e-06 1.00e+00 1.664465969e+02 1.664467050e+02 2.6e-11 1.39
88 4.0e-08 7.8e-03 2.6e-06 1.00e+00 1.664466040e+02 1.664467012e+02 2.3e-11 1.40
89 3.6e-08 7.8e-03 2.4e-06 1.00e+00 1.664466104e+02 1.664466979e+02 2.1e-11 1.41
90 3.3e-08 7.7e-03 2.1e-06 9.99e-01 1.664466161e+02 1.664466949e+02 1.9e-11 1.43
91 3.0e-08 7.7e-03 1.9e-06 9.98e-01 1.664466213e+02 1.664466922e+02 1.7e-11 1.44
92 2.7e-08 7.7e-03 1.7e-06 9.97e-01 1.664466259e+02 1.664466897e+02 1.5e-11 1.46
93 2.4e-08 7.7e-03 1.6e-06 9.98e-01 1.664466301e+02 1.664466875e+02 1.4e-11 1.47
94 2.2e-08 7.7e-03 1.4e-06 1.00e+00 1.664466339e+02 1.664466856e+02 1.2e-11 1.49
95 2.0e-08 7.7e-03 1.3e-06 1.00e+00 1.664466372e+02 1.664466838e+02 1.1e-11 1.50
96 1.8e-08 7.6e-03 1.1e-06 1.00e+00 1.664466403e+02 1.664466822e+02 9.9e-12 1.52
97 1.6e-08 7.6e-03 1.0e-06 9.99e-01 1.664466430e+02 1.664466807e+02 8.9e-12 1.53
98 1.4e-08 7.6e-03 9.2e-07 1.00e+00 1.664466455e+02 1.664466794e+02 8.0e-12 1.54
99 1.3e-08 7.6e-03 8.3e-07 9.98e-01 1.664466477e+02 1.664466783e+02 7.2e-12 1.56
100 1.2e-08 7.6e-03 7.5e-07 9.98e-01 1.664466497e+02 1.664466772e+02 6.5e-12 1.57
101 1.0e-08 7.6e-03 6.7e-07 9.93e-01 1.664466515e+02 1.664466763e+02 5.9e-12 1.59
102 9.4e-09 7.6e-03 6.0e-07 1.00e+00 1.664466531e+02 1.664466754e+02 5.3e-12 1.60
103 8.6e-09 7.6e-03 5.4e-07 9.94e-01 1.664466546e+02 1.664466746e+02 4.7e-12 1.62
104 7.7e-09 6.8e-03 4.9e-07 1.00e+00 1.664466559e+02 1.664466739e+02 4.3e-12 1.63
105 7.0e-09 6.7e-03 4.4e-07 9.88e-01 1.664466571e+02 1.664466734e+02 3.8e-12 1.65
106 7.0e-09 6.3e-03 4.0e-07 9.81e-01 1.664466581e+02 1.664466730e+02 3.5e-12 1.67
107 6.1e-09 5.7e-03 3.6e-07 1.00e+00 1.664466591e+02 1.664466725e+02 3.1e-12 1.68
108 5.6e-09 5.1e-03 3.2e-07 9.99e-01 1.664466599e+02 1.664466720e+02 2.8e-12 1.70
109 5.1e-09 4.6e-03 2.9e-07 1.00e+00 1.664466607e+02 1.664466716e+02 2.5e-12 1.71
110 4.5e-09 4.2e-03 2.6e-07 9.90e-01 1.664466614e+02 1.664466712e+02 2.3e-12 1.73
111 4.1e-09 3.7e-03 2.3e-07 9.88e-01 1.664466620e+02 1.664466708e+02 2.0e-12 1.74
112 3.7e-09 3.4e-03 2.1e-07 1.01e+00 1.664466626e+02 1.664466705e+02 1.9e-12 1.75
113 3.4e-09 3.0e-03 1.9e-07 1.02e+00 1.664466632e+02 1.664466702e+02 1.7e-12 1.77
114 3.8e-10 3.2e-04 2.0e-08 1.01e+00 1.664466672e+02 1.664466680e+02 1.7e-13 1.79
Optimizer terminated. Time: 1.79
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6644666721e+02 nrm: 2e+01 Viol. con: 5e-09 var: 0e+00
Dual. obj: 1.6644666796e+02 nrm: 1e+03 Viol. con: 0e+00 var: 2e-03
* End solution on dual form. *
Transforming to primal solution.
Solving took 1.84 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer - threads : 8
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.50e+04 after factor : 1.56e+05
Factor - dense dim. : 0 flops : 3.20e+07
Factor - GP saved nzs : 3.39e+04 GP saved flops : 9.49e+05
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+03 3.1e+03 1.2e+05 0.00e+00 -1.230556857e+05 2.000000000e+00 1.0e+00 0.08
1 1.7e+03 2.3e+03 9.0e+04 -9.71e-01 -1.223396225e+05 2.618954130e+00 7.3e-01 0.09
2 8.8e+02 1.2e+03 4.7e+04 -9.60e-01 -1.200423820e+05 4.597858680e+00 3.9e-01 0.11
3 2.9e+02 4.0e+02 1.6e+04 -9.22e-01 -1.110492029e+05 1.976137671e+01 1.3e-01 0.12
4 2.9e+02 3.9e+02 1.6e+04 -7.73e-01 -1.087274978e+05 2.013803586e+03 1.3e-01 0.13
5 1.1e+02 1.6e+02 6.1e+03 -7.61e-01 -8.607820003e+04 6.591648069e+03 5.0e-02 0.14
6 2.7e+01 3.7e+01 1.4e+03 -4.28e-01 -3.351834344e+04 1.260931340e+04 1.2e-02 0.15
7 1.7e+01 2.3e+01 9.3e+02 4.86e-01 -2.416974409e+04 7.170841782e+03 7.6e-03 0.17
8 1.0e+01 1.4e+01 5.5e+02 6.65e-01 -1.525722326e+04 4.449804442e+03 4.5e-03 0.18
9 4.0e+00 5.5e+00 2.2e+02 8.13e-01 -6.213184238e+03 2.014243026e+03 1.8e-03 0.19
10 2.1e+00 2.8e+00 1.1e+02 9.46e-01 -3.043324137e+03 1.210541185e+03 9.3e-04 0.20
11 8.6e-01 1.2e+00 4.7e+01 9.86e-01 -1.148142240e+03 6.425055970e+02 3.9e-04 0.21
12 8.3e-01 1.1e+00 4.5e+01 9.56e-01 -1.133188807e+03 6.177609433e+02 3.8e-04 0.22
13 5.3e-01 7.3e-01 2.9e+01 9.68e-01 -6.863889521e+02 4.441034837e+02 2.4e-04 0.24
14 3.4e-01 4.8e-01 1.9e+01 1.00e+00 -3.702858385e+02 3.621299007e+02 1.6e-04 0.25
15 1.1e-01 1.8e-01 6.0e+00 9.96e-01 -1.752661340e+01 2.143324349e+02 5.1e-05 0.27
16 8.3e-02 1.4e-01 4.7e+00 1.02e+00 2.670708365e+01 2.056481335e+02 3.9e-05 0.28
17 4.2e-02 9.1e-02 2.3e+00 1.02e+00 9.831565862e+01 1.872880452e+02 2.0e-05 0.30
18 1.1e-02 1.8e-01 6.1e-01 1.02e+00 1.497366605e+02 1.725881204e+02 5.1e-06 0.31
19 5.2e-03 1.8e-01 3.0e-01 1.01e+00 1.581444893e+02 1.693429356e+02 2.5e-06 0.33
20 1.6e-03 1.3e-01 9.4e-02 1.01e+00 1.639236956e+02 1.674307490e+02 8.0e-07 0.35
21 6.7e-04 9.4e-02 4.0e-02 1.00e+00 1.653684501e+02 1.668602609e+02 3.4e-07 0.36
22 2.4e-04 9.5e-02 1.5e-02 1.01e+00 1.660423979e+02 1.665979101e+02 1.3e-07 0.38
23 9.6e-05 9.1e-02 6.0e-03 1.01e+00 1.662764848e+02 1.664984236e+02 5.2e-08 0.39
24 3.8e-05 9.1e-02 2.4e-03 1.01e+00 1.663684524e+02 1.664568429e+02 2.1e-08 0.41
25 1.8e-05 8.2e-02 1.1e-03 1.01e+00 1.664010665e+02 1.664418967e+02 9.8e-09 0.43
26 1.6e-05 7.5e-02 1.0e-03 1.00e+00 1.664043960e+02 1.664411591e+02 8.8e-09 0.44
27 1.4e-05 6.8e-02 9.0e-04 1.01e+00 1.664068331e+02 1.664399111e+02 7.9e-09 0.46
28 1.3e-05 6.2e-02 8.1e-04 1.00e+00 1.664090657e+02 1.664388305e+02 7.1e-09 0.47
29 1.1e-05 5.7e-02 7.3e-04 1.00e+00 1.664110661e+02 1.664378498e+02 6.4e-09 0.49
30 1.0e-05 5.2e-02 6.6e-04 1.00e+00 1.664128646e+02 1.664369661e+02 5.8e-09 0.50
31 9.3e-06 4.7e-02 5.9e-04 1.00e+00 1.664144808e+02 1.664361691e+02 5.2e-09 0.52
32 8.4e-06 4.3e-02 5.3e-04 1.00e+00 1.664159335e+02 1.664354505e+02 4.7e-09 0.54
33 7.5e-06 4.0e-02 4.8e-04 1.00e+00 1.664172393e+02 1.664348025e+02 4.2e-09 0.55
34 6.8e-06 3.7e-02 4.3e-04 1.00e+00 1.664184131e+02 1.664342183e+02 3.8e-09 0.56
35 6.1e-06 3.4e-02 3.9e-04 1.00e+00 1.664194684e+02 1.664336917e+02 3.4e-09 0.57
36 5.5e-06 3.1e-02 3.5e-04 1.00e+00 1.664204171e+02 1.664332169e+02 3.1e-09 0.59
37 4.9e-06 2.9e-02 3.1e-04 1.00e+00 1.664212701e+02 1.664327890e+02 2.8e-09 0.61
38 4.5e-06 2.7e-02 2.8e-04 1.00e+00 1.664220370e+02 1.664324033e+02 2.5e-09 0.62
39 4.0e-06 2.5e-02 2.5e-04 1.00e+00 1.664227265e+02 1.664320556e+02 2.2e-09 0.63
40 3.6e-06 2.3e-02 2.3e-04 1.00e+00 1.664233464e+02 1.664317421e+02 2.0e-09 0.64
41 3.2e-06 2.2e-02 2.1e-04 1.00e+00 1.664239039e+02 1.664314596e+02 1.8e-09 0.66
42 2.9e-06 2.0e-02 1.9e-04 1.00e+00 1.664244051e+02 1.664312050e+02 1.6e-09 0.68
43 2.6e-06 1.9e-02 1.7e-04 1.00e+00 1.664248558e+02 1.664309755e+02 1.5e-09 0.69
44 2.4e-06 1.8e-02 1.5e-04 1.00e+00 1.664252612e+02 1.664307687e+02 1.3e-09 0.71
45 2.1e-06 1.7e-02 1.4e-04 1.00e+00 1.664256259e+02 1.664305824e+02 1.2e-09 0.72
46 1.9e-06 1.6e-02 1.2e-04 1.00e+00 1.664259539e+02 1.664304146e+02 1.1e-09 0.74
47 1.7e-06 1.5e-02 1.1e-04 1.00e+00 1.664262489e+02 1.664302635e+02 9.7e-10 0.75
48 1.6e-06 1.5e-02.
----------------------------------------------------------------------
Ran 1 test in 36.636s
OK
Generating XML reports...
9.9e-05 1.00e+00 1.664265144e+02 1.664301274e+02 8.7e-10 0.76
49 1.4e-06 1.4e-02 8.9e-05 1.00e+00 1.664267532e+02 1.664300048e+02 7.8e-10 0.77
50 1.3e-06 1.3e-02 8.0e-05 1.00e+00 1.664269680e+02 1.664298945e+02 7.0e-10 0.79
51 1.1e-06 1.3e-02 7.2e-05 1.00e+00 1.664271613e+02 1.664297951e+02 6.3e-10 0.80
52 1.0e-06 1.2e-02 6.5e-05 1.00e+00 1.664273352e+02 1.664297055e+02 5.7e-10 0.82
53 9.2e-07 1.2e-02 5.8e-05 1.00e+00 1.664274916e+02 1.664296249e+02 5.1e-10 0.83
54 8.2e-07 1.1e-02 5.2e-05 1.00e+00 1.664276324e+02 1.664295523e+02 4.6e-10 0.85
55 7.4e-07 1.1e-02 4.7e-05 1.00e+00 1.664277590e+02 1.664294869e+02 4.2e-10 0.87
56 6.7e-07 1.1e-02 4.2e-05 1.00e+00 1.664278729e+02 1.664294280e+02 3.7e-10 0.89
57 6.0e-07 1.0e-02 3.8e-05 1.00e+00 1.664279753e+02 1.664293749e+02 3.4e-10 0.91
58 5.4e-07 1.0e-02 3.4e-05 1.00e+00 1.664280675e+02 1.664293271e+02 3.0e-10 0.92
59 4.9e-07 9.9e-03 3.1e-05 1.00e+00 1.664281504e+02 1.664292840e+02 2.7e-10 0.94
60 4.4e-07 9.7e-03 2.8e-05 1.00e+00 1.664282249e+02 1.664292453e+02 2.5e-10 0.96
61 3.9e-07 9.5e-03 2.5e-05 1.00e+00 1.664282920e+02 1.664292103e+02 2.2e-10 0.97
62 3.6e-07 9.4e-03 2.3e-05 1.00e+00 1.664283523e+02 1.664291788e+02 2.0e-10 0.98
63 3.2e-07 9.2e-03 2.0e-05 1.00e+00 1.664284066e+02 1.664291504e+02 1.8e-10 0.99
64 2.9e-07 9.1e-03 1.8e-05 1.00e+00 1.664284554e+02 1.664291249e+02 1.6e-10 1.01
65 2.6e-07 8.9e-03 1.6e-05 1.00e+00 1.664284994e+02 1.664291019e+02 1.5e-10 1.02
66 2.3e-07 8.8e-03 1.5e-05 1.00e+00 1.664285389e+02 1.664290811e+02 1.3e-10 1.03
67 2.1e-07 8.7e-03 1.3e-05 1.00e+00 1.664285745e+02 1.664290625e+02 1.2e-10 1.04
68 1.9e-07 8.6e-03 1.2e-05 1.00e+00 1.664286065e+02 1.664290457e+02 1.1e-10 1.05
69 1.7e-07 8.5e-03 1.1e-05 1.00e+00 1.664286353e+02 1.664290306e+02 9.5e-11 1.07
70 1.5e-07 8.4e-03 9.7e-06 1.00e+00 1.664286612e+02 1.664290170e+02 8.6e-11 1.08
71 1.4e-07 8.4e-03 8.7e-06 1.00e+00 1.664286846e+02 1.664290047e+02 7.7e-11 1.10
72 1.2e-07 8.3e-03 7.9e-06 1.00e+00 1.664287056e+02 1.664289937e+02 6.9e-11 1.11
73 1.1e-07 8.2e-03 7.1e-06 1.00e+00 1.664287245e+02 1.664289838e+02 6.2e-11 1.13
74 1.0e-07 8.2e-03 6.4e-06 1.00e+00 1.664287415e+02 1.664289748e+02 5.6e-11 1.15
75 9.0e-08 8.1e-03 5.7e-06 9.99e-01 1.664287568e+02 1.664289668e+02 5.1e-11 1.16
76 8.1e-08 8.1e-03 5.2e-06 1.00e+00 1.664287706e+02 1.664289596e+02 4.6e-11 1.18
77 7.3e-08 8.1e-03 4.6e-06 1.00e+00 1.664287830e+02 1.664289531e+02 4.1e-11 1.19
78 6.6e-08 8.0e-03 4.2e-06 1.00e+00 1.664287941e+02 1.664289472e+02 3.7e-11 1.20
79 5.9e-08 8.0e-03 3.8e-06 1.00e+00 1.664288042e+02 1.664289420e+02 3.3e-11 1.22
80 5.3e-08 8.0e-03 3.4e-06 1.00e+00 1.664288132e+02 1.664289372e+02 3.0e-11 1.23
81 4.8e-08 7.9e-03 3.0e-06 1.00e+00 1.664288214e+02 1.664289330e+02 2.7e-11 1.25
82 4.3e-08 7.9e-03 2.7e-06 9.99e-01 1.664288287e+02 1.664289291e+02 2.4e-11 1.26
83 3.9e-08 7.9e-03 2.5e-06 9.92e-01 1.664288353e+02 1.664289257e+02 2.2e-11 1.28
84 3.5e-08 7.1e-03 2.2e-06 1.01e+00 1.664288413e+02 1.664289225e+02 2.0e-11 1.30
85 3.1e-08 6.4e-03 2.0e-06 9.98e-01 1.664288466e+02 1.664289198e+02 1.8e-11 1.31
86 2.8e-08 5.7e-03 1.8e-06 9.87e-01 1.664288514e+02 1.664289173e+02 1.6e-11 1.33
87 2.6e-08 5.2e-03 1.6e-06 9.96e-01 1.664288558e+02 1.664289150e+02 1.4e-11 1.35
88 2.3e-08 4.6e-03 1.5e-06 9.94e-01 1.664288597e+02 1.664289130e+02 1.3e-11 1.37
89 2.1e-08 4.2e-03 1.3e-06 1.02e+00 1.664288635e+02 1.664289110e+02 1.2e-11 1.38
90 1.9e-08 3.8e-03 1.2e-06 9.96e-01 1.664288666e+02 1.664289093e+02 1.1e-11 1.40
91 1.7e-08 3.4e-03 1.1e-06 1.01e+00 1.664288695e+02 1.664289078e+02 9.5e-12 1.41
92 1.5e-08 3.0e-03 9.6e-07 1.02e+00 1.664288722e+02 1.664289063e+02 8.6e-12 1.43
93 1.4e-08 2.7e-03 8.6e-07 9.96e-01 1.664288745e+02 1.664289049e+02 7.8e-12 1.44
94 1.2e-08 2.5e-03 7.8e-07 1.00e+00 1.664288766e+02 1.664289039e+02 7.0e-12 1.45
95 1.1e-08 2.2e-03 7.0e-07 1.00e+00 1.664288784e+02 1.664289029e+02 6.3e-12 1.46
96 1.0e-08 2.0e-03 6.3e-07 1.01e+00 1.664288801e+02 1.664289020e+02 5.7e-12 1.48
97 9.6e-09 1.8e-03 5.7e-07 9.78e-01 1.664288815e+02 1.664289013e+02 5.1e-12 1.49
98 8.6e-09 1.6e-03 5.1e-07 1.02e+00 1.664288829e+02 1.664289006e+02 4.6e-12 1.51
99 7.7e-09 1.5e-03 4.6e-07 1.04e+00 1.664288843e+02 1.664288999e+02 4.3e-12 1.52
100 7.0e-09 1.3e-03 4.1e-07 1.01e+00 1.664288854e+02 1.664288993e+02 3.8e-12 1.54
101 6.3e-09 1.2e-03 3.7e-07 1.01e+00 1.664288864e+02 1.664288988e+02 3.5e-12 1.55
102 5.7e-09 1.1e-03 3.3e-07 9.30e-01 1.664288872e+02 1.664288984e+02 3.1e-12 1.57
103 5.1e-09 9.6e-04 3.0e-07 9.72e-01 1.664288880e+02 1.664288981e+02 2.8e-12 1.58
104 4.6e-09 8.6e-04 2.7e-07 9.82e-01 1.664288886e+02 1.664288978e+02 2.5e-12 1.60
105 4.3e-09 7.7e-04 2.4e-07 9.42e-01 1.664288892e+02 1.664288975e+02 2.3e-12 1.61
106 4.0e-09 7.0e-04 2.2e-07 9.36e-01 1.664288898e+02 1.664288972e+02 2.1e-12 1.62
107 6.2e-08 6.3e-04 3.6e-07 1.00e+00 1.664288846e+02 1.664288970e+02 1.8e-12 1.64
108 5.7e-08 5.6e-04 3.3e-07 9.85e-01 1.664288857e+02 1.664288967e+02 1.7e-12 1.65
109 5.2e-08 5.1e-04 2.9e-07 1.01e+00 1.664288866e+02 1.664288965e+02 1.5e-12 1.67
110 4.8e-08 4.6e-04 2.6e-07 1.02e+00 1.664288877e+02 1.664288962e+02 1.4e-12 1.68
111 4.3e-08 4.1e-04 2.4e-07 9.79e-01 1.664288884e+02 1.664288960e+02 1.2e-12 1.69
112 3.9e-08 3.7e-04 2.1e-07 9.95e-01 1.664288890e+02 1.664288959e+02 1.1e-12 1.70
113 3.5e-08 3.3e-04 1.9e-07 9.92e-01 1.664288896e+02 1.664288958e+02 9.9e-13 1.72
Optimizer terminated. Time: 1.72
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6642888957e+02 nrm: 2e+01 Viol. con: 9e-07 var: 0e+00
Dual. obj: 1.6642889579e+02 nrm: 1e+03 Viol. con: 0e+00 var: 2e-03
* End solution on dual form. *
Transforming to primal solution.
Solving took 1.76 seconds.
Solving took 9 GP solves and 29.1 seconds.
Solves with these variables bounded:
value near lower bound: CruiseAlt_Mission
value near upper bound: \alpha_{max}_Mission/Aircraft/Engine/Thrust, A_{tri}_Mission/Aircraft/Wing/WingNoStruct, TotalTime_Mission, M_{r_{out}}_Mission/Aircraft/HorizontalTail/WingBox, d_{nacelle}_Mission/Aircraft/LandingGear, T_{t_{4.1_{max-Cruise}}}_Mission
Checking for relaxed constants...
GP iteration 0 has relaxed constants
Cost
----
2.048e+121
Free Variables
--------------
| Mission/Aircraft/Engine/Compressor/Relax
C_{p_{air} : 1.125 Cp Value for Air at 250K
| Mission/Aircraft/Engine/Turbine/Relax
C_{p_{t2}} : 2.471 Cp Value for Combustion Products in LP Turbine
| Mission/Aircraft/Fuselage/Relax
l_{nose} : 1.063 Nose length
n_{pass} : [ 3.1 ] Number of passengers
| Mission/Aircraft/Relax
f_{L_{total/wing}} : 1.837 Total lift as a percentage of wing lift
| Mission/Aircraft/Wing/WingNoStruct/Relax
\tan(\Lambda) : 1.094 Tangent of quarter-chord sweep angle
| Mission/FlightState/Atmosphere/Relax
L_{atm} : [ 1.93 1 1 1 1 ] Temperature lapse rate
T_{sl} : [ 1 1 1.17 1 1 ] Temperature at sea level
| Mission/Relax
R_{req} : 5.653 Required Cruise Range
GP iteration 1 has relaxed constants
Cost
----
1.04e+83
Free Variables
--------------
| Mission/Aircraft/Engine/Combustor/Relax
C_{p_{c}} : 1.05 Cp Value for Fuel/Air Mix in Combustor
| Mission/Aircraft/Engine/Turbine/Relax
C_{p_{t2}} : 1.719 Cp Value for Combustion Products in LP Turbine
| Mission/Aircraft/Fuselage/Relax
n_{pass} : [ 1.1 ] Number of passengers
| Mission/Aircraft/LandingGear/Relax
h_{hold} : 1.008 Hold height
| Mission/Aircraft/Relax
f_{L_{total/wing}} : 1.415 Total lift as a percentage of wing lift
WEIGHT DIFFERENCES
Total Fuel Weight Percent Diff: [-92.79842621]
Total Aircraft Weight Percent Diff: [-21.81285021]
Engine Weight Percent Diff: -58.007255403036744
Fuselage Weight Percent Diff: -0.8731355360020234
Payload Weight Percent Diff: [-0.04003554]
VT Weight Percent Diff: -9.533136668049815
HT Weight Percent Diff: -92.86197949642589
Wing Weight Percent Diff: 7.69386814069836
WING DIFFERENCES
Wing Span Percent Diff: -0.029996860928737514
Wing Area Percent Diff: 33.303145327453244
HORIZONTAL TAIL DIFFERENCES
HT Area Percent Diff: 40.74266128737466
VERTICAL TAIL DIFFERENCES
VT Span Percent Diff: -11.323750945748705
VT Area Percent Diff: -60.65475909502098
CRUISE SEGMENT 1 DRAG DIFFERENCES
Overall Cd Percent Diff: [-19.05219431]
L/D Percent Diff: [24.01289718]
Nacelle Cd Percent Diff: [-94.54381346]
HT Cd Percent Diff: [-80.41772271] dimensionless
Fuselage Cd Percent Diff: [108.78752887]
VT Cd Percent Diff: [-58.44412025] dimensionless
Wing Cd percent Diff: [-14.6613512]
Induced Drag Cd Percent Diff: [0.26373796]
CRUISE SEGMENT 1 TSFC DIFFERENCES
Initial Cruise TSFC Percent Diff: [-90.34226382]
FUSELAGE DIFFERENCES
Weight of HB material: -38.211159144179085
Weight of VB material: 87.69996761067377
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.70524685]
Cloning into 'solar'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Requirement already satisfied: pandas in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (0.24.2)
Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2.8.0)
Requirement already satisfied: numpy>=1.12.0 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (1.16.4)
Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2019.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas) (1.12.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/convexengineering/gpfit.git
Cloning https://github.com/convexengineering/gpfit.git to /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-r2lbJx
Running command git clone -q https://github.com/convexengineering/gpfit.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-r2lbJx
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.12.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Stored in directory: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-_IFGk9/wheels/d5/94/ac/b1f68b07599181f26f4b9149a1a6d49dfc5cdbc65de1a14d12
Successfully built gpfit
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/convexengineering/gassolar.git
Cloning https://github.com/convexengineering/gassolar.git to /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-F1ZqNv
Running command git clone -q https://github.com/convexengineering/gassolar.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-F1ZqNv
Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (1.2.2)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/gpkit (from gassolar==0.0.0.0) (0.9.0.1)
Requirement already satisfied: pandas in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3)
Requirement already satisfied: six in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.12.0)
Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.0)
Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->gassolar==0.0.0.0) (2019.1)
Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2)
Building wheels for collected packages: gassolar
Building wheel for gassolar (setup.py): started
Building wheel for gassolar (setup.py): finished with status 'done'
Stored in directory: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-LM2C5t/wheels/fe/11/0a/2dde16df75c51194d20248ec9e30e88fc7200e9fc4664b032e
Successfully built gassolar
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Processing /Users/jenkins/workspace/gplibrary_PR_Models/mosek/solar
Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from solar==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from solar==0.0.0.0) (1.2.2)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/gpkit (from solar==0.0.0.0) (0.9.0.1)
Requirement already satisfied: pandas in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from solar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in /Users/jenkins/workspace/gplibrary_PR_Models/mosek (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->solar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->solar==0.0.0.0) (1.2.3)
Requirement already satisfied: six in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->solar==0.0.0.0) (1.12.0)
Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->solar==0.0.0.0) (2.8.0)
Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->solar==0.0.0.0) (2019.1)
Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (1.0.2)
Building wheels for collected packages: solar
Building wheel for solar (setup.py): started
Building wheel for solar (setup.py): finished with status 'done'
Stored in directory: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-V92nqY/wheels/1f/1c/61/aec93436439dcd4a965e159a026d3a7ed265e591b64e6d6bfc
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0
Running tests...
----------------------------------------------------------------------
/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
../Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: divide by zero encountered in divide
tau = np.exp(-0.175/costhsun)
....
----------------------------------------------------------------------
Ran 6 tests in 289.075s
OK
Generating XML reports...
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'
Beginning signomial solve.
Solving took 5 GP solves and 1.53 seconds.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1632916.9442 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission/Climb/Airc could cause inaccurate result because it is above upper bound. Solution is 1259333.2964 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 1.96 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1036204.4217 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.1/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1006645.3404 but bound is 1000000.0000
Beginning signomial solve.
Solving took 7 GP solves and 2.57 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 989673.4621 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.2/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1019678.5272 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 2.39 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 976142.1405 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.3/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1042059.4012 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 2.42 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.4/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.4/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.4/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1007400.4737 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.4/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1092545.5067 but bound is 1000000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.14 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.5/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.5/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.5/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.5/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1119121.2077 but bound is 600000.0000
Beginning signomial solve.
Solving took 5 GP solves and 1.57 seconds.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1632916.9441 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission/Climb/Airc could cause inaccurate result because it is above upper bound. Solution is 1259333.2964 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 1.77 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1036204.4217 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.1/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1006645.3404 but bound is 1000000.0000
Beginning signomial solve.
Solving took 7 GP solves and 2.27 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 989673.4621 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.2/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1019678.5272 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 2.18 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 976142.1405 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.3/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1042059.4012 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 2.25 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.4/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.4/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.4/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1007400.4758 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.4/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1092545.5085 but bound is 1000000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.15 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.5/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.5/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.5/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.5/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1119121.2077 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 6.38 seconds.
Allowing negative dual variable(s) as small as -1.7283714098327316e-09.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 671709.7406 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 5.55 seconds.
Allowing negative dual variable(s) as small as -1.6253411290663492e-09.
Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 729183.6170 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 5.53 seconds.
Allowing negative dual variable(s) as small as -1.9835491985666805e-09.
Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 802959.5987 but bound is 600000.0000
Using solver 'mosek'
Solving for 7672 variables.
Solving took 2.54 seconds.
Allowing negative dual variable(s) as small as -1.2885531581154791e-11.
Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 839122.5075 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 6.09 seconds.
Allowing negative dual variable(s) as small as -1.7283714098327316e-09.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 671709.7406 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 5.39 seconds.
Allowing negative dual variable(s) as small as -1.6253411290663492e-09.
Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 729183.6170 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 5.37 seconds.
Allowing negative dual variable(s) as small as -1.9835491985666805e-09.
Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 802959.5987 but bound is 600000.0000
Using solver 'mosek'
Solving for 7672 variables.
Solving took 2.47 seconds.
Allowing negative dual variable(s) as small as -1.2885531581154791e-11.
Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 839122.5075 but bound is 600000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.04 seconds.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1119121.2077 but bound is 600000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.14 seconds.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1119121.2077 but bound is 600000.0000
Cloning into 'gplibrary'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Requirement already satisfied: pandas in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (0.24.2)
Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2.8.0)
Requirement already satisfied: numpy>=1.12.0 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (1.16.4)
Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2019.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas) (1.12.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-QRAirr
Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-QRAirr
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.12.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Stored in directory: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-oaE56v/wheels/4d/4b/2e/9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f
Successfully built gpfit
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Processing /Users/jenkins/workspace/gplibrary_PR_Models/mosek/gplibrary
Requirement already satisfied: numpy>=1.12 in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2)
Building wheels for collected packages: gpkitmodels
Building wheel for gpkitmodels (setup.py): started
Building wheel for gpkitmodels (setup.py): finished with status 'done'
Stored in directory: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-CRu3km/wheels/89/83/63/5c5e519ca7ad1fa93cf087f53642d88b5b0eb066ca83d4bb19
Successfully built gpkitmodels
Installing collected packages: gpkitmodels
Found existing installation: gpkitmodels 0.0.0.0
Uninstalling gpkitmodels-0.0.0.0:
Successfully uninstalled gpkitmodels-0.0.0.0
Successfully installed gpkitmodels-0.0.0.0
Running tests...
----------------------------------------------------------------------
../Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..............
----------------------------------------------------------------------
Ran 16 tests in 10.835s
OK
Generating XML reports...
adding test for 'gpkitmodels/GP/aircraft/wing/wing_test.py'
adding test for 'gpkitmodels/GP/aircraft/tail/tail_tests.py'
adding test for 'gpkitmodels/GP/aircraft/fuselage/test_fuselage.py'
adding test for 'gpkitmodels/GP/aircraft/prop/prop_test.py'
adding test for 'gpkitmodels/GP/aircraft/motor/motor_test.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_mission.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_multimission.py'
Using solver 'mosek'
Solving for 11 variables.
Solving took 0.0181 seconds.
Using solver 'mosek_cli'
Solving for 11 variables.
Solving took 0.0378 seconds.
Using solver 'mosek'
Solving for 9 variables.
Solving took 0.0122 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.00967 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.0096 seconds.
Beginning signomial solve.
Solving took 16 GP solves and 0.972 seconds.
Using solver 'mosek_cli'
Solving for 9 variables.
Solving took 0.0493 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.0467 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.0519 seconds.
Beginning signomial solve.
Solving took 16 GP solves and 1.45 seconds.
Using solver 'mosek'
Solving for 13 variables.
Solving took 0.0126 seconds.
Beginning signomial solve.
Solving took 11 GP solves and 0.599 seconds.
Warning: Variable [gpkit.Variable(cl_BladeElementProp/BladeElementPerf_(0,))
gpkit.Variable(cl_BladeElementProp/Blade could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable [gpkit.Variable(Re_BladeElementProp/BladeElementPerf_(0,))
gpkit.Variable(Re_BladeElementProp/Blade could cause inaccurate result because it is above upper bound. Solution is 1619896.9519 but bound is 700000.0000
Using solver 'mosek_cli'
Solving for 13 variables.
Solving took 0.0426 seconds.
Beginning signomial solve.
Solving took 11 GP solves and 0.957 seconds.
Warning: Variable [gpkit.Variable(cl_BladeElementProp/BladeElementPerf_(0,))
gpkit.Variable(cl_BladeElementProp/Blade could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable [gpkit.Variable(Re_BladeElementProp/BladeElementPerf_(0,))
gpkit.Variable(Re_BladeElementProp/Blade could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000
Warning: Variable Re_TailAero could cause inaccurate result because it is above upper bound. Solution is 2220953.3838 but bound is 1000000.0000
Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499787.9776 but bound is 1000000.0000
Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 2223878.3883 but bound is 1000000.0000
Warning: Variable Re_TailAero.3 could cause inaccurate result because it is above upper bound. Solution is 2223877.9590 but bound is 1000000.0000
Warning: Variable Re_TailAero.4 could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000
Warning: Variable Re_TailAero.5 could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000
Warning: Variable Re_TailAero could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000
Warning: Variable Re_TailAero.3 could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000
Warning: Variable Re_TailAero.4 could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable Re_TailAero.5 could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable Re_WingAero could cause inaccurate result because it is above upper bound. Solution is 1884891.6332 but bound is 700000.0000
Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910419.6195 but bound is 700000.0000
Warning: Variable Re_WingAero could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Beginning signomial solve.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.0133 seconds.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.0111 seconds.
SP is not converging! Last GP iteration had a higher cost (2.4e+03) than the previous one (2.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.0113 seconds.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.014 seconds.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.0121 seconds.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.0149 seconds.
Solving took 6 GP solves and 0.187 seconds.
Beginning signomial solve.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.0459 seconds.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.0372 seconds.
SP is not converging! Last GP iteration had a higher cost (2.4e+03) than the previous one (2.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.05 seconds.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.0484 seconds.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.0557 seconds.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.0446 seconds.
Solving took 6 GP solves and 0.434 seconds.
Beginning signomial solve.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.0304 seconds.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.0294 seconds.
SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (2.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.0226 seconds.
SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (3.5e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.0205 seconds.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.0178 seconds.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.0253 seconds.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.0172 seconds.
Solving took 7 GP solves and 0.495 seconds.
Beginning signomial solve.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.0594 seconds.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.068 seconds.
SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (2.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.0649 seconds.
SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (3.5e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.058 seconds.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.0605 seconds.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.0532 seconds.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.0529 seconds.
Solving took 7 GP solves and 0.883 seconds.
Beginning signomial solve.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.0108 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.0163 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.0125 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.0115 seconds.
Solving took 4 GP solves and 0.0624 seconds.
Beginning signomial solve.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.0371 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.0372 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.0356 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.0414 seconds.
Solving took 4 GP solves and 0.165 seconds.
Cloning into 'eVTOL'...
Running tests...
----------------------------------------------------------------------
..
----------------------------------------------------------------------
Ran 2 tests in 1.194s
OK
Generating XML reports...
adding test for 'aircraft_models.py'
Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...
Attempting to find and build solvers:
# Looking for mosek
# Found /Users/jenkins/mosek/8/tools/platform/osx64x86/h/mosek.h
# Found /Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib
# Found /Users/jenkins/mosek/8/tools/examples/c/scopt-ext.c
# Found /Users/jenkins/mosek/8/tools/examples/c/expopt.c
# Found /Users/jenkins/mosek/8/tools/examples/c/dgopt.c
# Found /Users/jenkins/mosek/8/tools/examples/c/scopt-ext.h
# Found /Users/jenkins/mosek/8/tools/examples/c/expopt.h
# Found /Users/jenkins/mosek/8/tools/examples/c/dgopt.h
# Found /Users/jenkins/mosek/8/tools/platform/osx64x86/h/mosek.h
# Found mosek version 8, installed to /Users/jenkins/mosek
#
# Building mosek...
# Replacing directory _mosek/lib
# Replacing directory _mosek/build
# Replacing directory /Users/jenkins/workspace/gplibrary_PR_Models/mosek/build_gpkit
#
# Copying expopt library files to _mosek/build
# Copying /Users/jenkins/mosek/8/tools/examples/c/scopt-ext.c
# Copying /Users/jenkins/mosek/8/tools/examples/c/expopt.c
# Copying /Users/jenkins/mosek/8/tools/examples/c/dgopt.c
# Copying /Users/jenkins/mosek/8/tools/examples/c/scopt-ext.h
# Copying /Users/jenkins/mosek/8/tools/examples/c/expopt.h
# Copying /Users/jenkins/mosek/8/tools/examples/c/dgopt.h
# Copying /Users/jenkins/mosek/8/tools/platform/osx64x86/h/mosek.h
#
# Applying expopt patches...
#
# Change in _mosek/build/dgopt.con line 651
# -- printf("Number of Hessian non-zeros: %d\n",nlh[0]->numhesnz);
# ++ MSK_echotask(task,MSK_STREAM_MSG,"Number of Hessian non-zeros: %d\n",n
#
# Change in _mosek/build/expopt.con line 566
# -- printf("Warning: The variable with index '%d' has only positiv
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in
#
# Change in _mosek/build/expopt.con line 579
# -- printf("Warning: The variable with index '%d' has only negativ
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in
#
# Change in _mosek/build/expopt.con line 1115
# -- printf ("solsta = %d, prosta = %d\n", (int)*solsta,(int)*prosta);
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "solsta = %d, prosta = %d\n",
#
# Building expopt library...
# Calling 'gcc -fpic -shared -Wl,-rpath "/Users/jenkins/mosek/8/tools/platform/osx64x86/bin" _mosek/build/scopt-ext.c _mosek/build/expopt.c _mosek/build/dgopt.c "/Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib" -o /Users/jenkins/workspace/gplibrary_PR_Models/mosek/build_gpkit/expopt.so'
##
### CALL BEGINS
### CALL ENDS
##
# Calling 'install_name_tool -change libmosek64.8.1.dylib /Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib /Users/jenkins/workspace/gplibrary_PR_Models/mosek/build_gpkit/expopt.so'
##
### CALL BEGINS
### CALL ENDS
##
# Calling 'install_name_tool -change libmosek64.8.1.dylib @executable_path/libmosek64.8.1.dylib /Users/jenkins/mosek/8/tools/platform/osx64x86/bin/mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
#
# Building Python bindings for expopt and Mosek...
# (if this fails on Windows, verify the mingw version)
# Calling 'python modified_ctypesgen.py -a -l /Users/jenkins/workspace/gplibrary_PR_Models/mosek/build_gpkit/expopt.so -l "/Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib" -o _mosek/lib/expopt_h.py _mosek/build/expopt.h'
##
### CALL BEGINS
### CALL ENDS
##
# Done building mosek
# Looking for mosek_cli
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in system path
# Looking for cvxopt
# Trying to import cvxopt...
# Found cvxopt in Python path
...finished building gpkit.
Replaced found solvers (['mosek', 'mosek_cli', 'cvxopt']) with environment var GPKITSOLVERS (mosek, mosek_cli)
Found the following solvers: mosek, mosek_cli
# Replacing directory env
GPkit is now installed with solver(s) ['mosek', 'mosek_cli']
To incorporate new solvers at a later date, run `gpkit.build()`.
If any tests didn't pass, please post the output above
(starting from "Found no installed solvers, beginning a build.")
to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new
so we can prevent others from having these errors.
The same goes for any other bugs you encounter with GPkit:
send 'em our way, along with any interesting models, speculative features,
comments, discussions, or clarifications you feel like sharing.
Finally, we hope you find our documentation (https://gpkit.readthedocs.io/)
and engineering-design models (https://github.com/convexengineering/gplibrary/)
to be useful resources for your own applications.
Enjoy!
USING LOCAL DIRECTORY AS GPKITMODELS DIRECTORY
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', '--no-cache-dir', '--no-deps', '-e', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/shopping.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {})
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'})
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/jho.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'})
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/turbofan.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt, mosek_cli', 'gpkit-models branch': 'master'})
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/SPaircraft.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt, mosek_cli', 'pip install': 'git+https://github.com/hoburg/turbofan.git', 'gpkit-models branch': 'master'})
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/turbofan.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/solar.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', 'gpkit-models branch': 'master'})
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gpfit.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gassolar.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git'})
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/gplibrary_PR_Models/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/eVTOL.git']
attempt 1
SETTINGS
defaultdict(<type 'str'>, {})
[Execution node] check if [macys] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] preventing perform for step [Execute Windows batch command]
Build step 'Console output (build log) parsing' changed build result to FAILURE
INFO: Starting to record.
INFO: Processing JUnit
INFO: [JUnit] - 8 test report file(s) were found with the pattern '**/test_reports/*.xml, **/test_reports_nounits/*.xml' relative to '/Users/jenkins/workspace/gplibrary_PR_Models/mosek' for the testing framework 'JUnit'.
INFO: Check 'Failed Tests' threshold.
INFO: Check 'Skipped Tests' threshold.
INFO: Setting the build status to FAILURE
INFO: Stopping recording.
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: FAILURE
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