[Ipopt] Problem examplelasso MatlabR2011b MacOS 10.7.3
Hours Jean-Hubert
jean-hubert.hours at epfl.ch
Sun Jun 10 10:42:31 EDT 2012
Hello,
I get the following error when running the lasso example on Matlab R2011b on OSX 10.7.3:
Total number of variables............................: 16
variables with only lower bounds: -2147483648
variables with lower and upper bounds: 0
variables with only upper bounds: 134
Total number of equality constraints.................: 0
Total number of inequality constraints...............: 16
inequality constraints with only lower bounds: -2147483648
inequality constraints with lower and upper bounds: 0
inequality constraints with only upper bounds: 0
iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
0 2.0362309e+03 0.00e+00 nan 0.0 0.00e+00 - 0.00e+00 0.00e+00 0
WARNING: Problem in step computation; switching to emergency mode.
1r 2.0362309e+03 7.00e+00 2.50e+262 231.5 0.00e+00 20.0 0.00e+00 0.00e+00R 1
Sorry, things failed ?!?!
Number of Iterations....: 1
(scaled) (unscaled)
Objective...............: 3.9578951063542712e+02 2.0362308556865539e+03
Dual infeasibility......: 6.2100723692028357e+231 3.1949156393548568e+232
Constraint violation....: 0.0000000000000000e+00 6.9999999900000001e+00
Complementarity.........: 5.3037746227453124e+180 2.7286497616126147e+181
Overall NLP error.......: 6.2100723692028357e+231 3.1949156393548568e+232
Number of objective function evaluations = 2
Number of objective gradient evaluations = 2
Number of equality constraint evaluations = 0
Number of inequality constraint evaluations = 2
Number of equality constraint Jacobian evaluations = 0
Number of inequality constraint Jacobian evaluations = 1
Number of Lagrangian Hessian evaluations = 1
Total CPU secs in IPOPT (w/o function evaluations) = 0.003
Total CPU secs in NLP function evaluations = 0.002
EXIT: Restoration Failed!
Solution:
0
0
0
0
0
0
0
0
Do you know where this comes from ?
Similarly, when I run ipopt on my problem, I get a problem in the constraints evaluation callback: some variables of the optimizer explode (1e+131).
Maybe you have an idea ?
Thanks for your help,
Jean
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