[Ipopt] [Jipopt] Slow running time on windows x64 ?

[Razafindrazaka, Faniry]

Hi all,

I am running some optimization problem using jipopt x64bit on Eclipse with -Xmx6g. The Hessian and the Jacobians are sparse. I would like to ask if the following running time make sense I feel like it is slow and should be way faster than this. My fear is that the jni makes it slow.

******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt
******************************************************************************

NOTE: You are using Ipopt by default with the MUMPS linear solver.
      Other linear solvers might be more efficient (see Ipopt documentation).


This is Ipopt version 3.11.0, running with linear solver mumps.

Number of nonzeros in equality constraint Jacobian...:    55152
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:    64386

Total number of variables............................:    18396
                     variables with only lower bounds:        0
                variables with lower and upper bounds:        0
                     variables with only upper bounds:        0
Total number of equality constraints.................:    18166
Total number of inequality constraints...............:        0
        inequality constraints with only lower bounds:        0
   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 1.5968735e+001 0.00e+000 1.54e-003  -1.0 0.00e+000    -  0.00e+000 0.00e+000   0
   1 7.5745104e-004 1.99e-013 2.94e-017  -3.8 1.26e+002    -  1.00e+000 1.00e+000f  1

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:  7.5745104075694916e-004   7.5745104075694916e-004
Dual infeasibility......:  2.9381031841409916e-017   2.9381031841409916e-017
Constraint violation....:  1.9895196601282805e-013   1.9895196601282805e-013
Complementarity.........:  0.0000000000000000e+000   0.0000000000000000e+000
Overall NLP error.......:  1.9895196601282805e-013   1.9895196601282805e-013


Number of objective function evaluations             = 2
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 2
Number of inequality constraint evaluations          = 0
Number of equality constraint Jacobian evaluations   = 2
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations             = 1
Total CPU secs in IPOPT (w/o function evaluations)   =     25.498
Total CPU secs in NLP function evaluations           =      3.551

EXIT: Optimal Solution Found.
Status    = 0
Obj Value = 7.574510407569492E-4

Kind Regards
Faniry


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