[Ipopt] mumps out of memory

[Andreas Waechter]

Hi

> I tried to fiddle with the alleged "mump_mem_percent option" but ipopt came
> back to me saying that was not a recognized option.

Try "mumps_mem_percent" with an "s" before the first underscore.

Regards,

Andreas

On Tue, 20 Jul 2010, Saqib Ilyas wrote:

> Hi all
> I download the Windows binary for IpOpt. I didn't have enough time to
> compile from source or to download and compile not-included solvers. I have
> an AMPL model that, when I try to solve with IpOpt, it gives the following
> error. Any clues what is going on? I have 2 GB RAM on a Windows XP machine.
> I tried to fiddle with the alleged "mump_mem_percent option" but ipopt came
> back to me saying that was not a recognized option. Error dump follows:
>
> ******************************************************************************
> This program contains Ipopt, a library for large-scale nonlinear
> optimization.
> Ipopt is released as open source code under the Common Public License
> (CPL).
>         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 3.8.0, running with linear solver mumps.
> Number of nonzeros in equality constraint Jacobian...:        0
> Number of nonzeros in inequality constraint Jacobian.:    30888
> Number of nonzeros in Lagrangian Hessian.............:   617760
> MUMPS returned INFO(1) =-13 - out or memory.
> In some cases it helps to decrease the value of the option
> "mumps_mem_percent".
> Total number of variables............................:    32175
>                     variables with only lower bounds:        0
>                variables with lower and upper bounds:    32175
>                     variables with only upper bounds:        0
> Total number of equality constraints.................:        0
> Total number of inequality constraints...............:      936
>        inequality constraints with only lower bounds:        0
>   inequality constraints with lower and upper bounds:        0
>        inequality constraints with only upper bounds:      936
> iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du
> alpha_pr  ls
>   0 2.7042410e+002 0.00e+000 1.46e+001  -1.0 0.00e+000    -  0.00e+000
> 0.00e+00
> 0   0
> MUMPS returned INFO(1) =-13 - out or memory.
> In some cases it helps to decrease the value of the option
> "mumps_mem_percent".
> WARNING: Problem in step computation; switching to emergency mode.
> Restoration phase is called at point that is almost feasible,
>  with constraint violation 0.000000e+000. Abort.
> Number of Iterations....: 0
>                                   (scaled)                 (unscaled)
> Objective...............:  2.7042410056253124e+002   2.7042410056253124e+002
> Dual infeasibility......:  1.4603015700000002e+001   1.4603015700000002e+001
> Constraint violation....:  0.0000000000000000e+000   0.0000000000000000e+000
> Complementarity.........:  9.9000001999999998e-001   9.9000001999999998e-001
> Overall NLP error.......:  1.4603015700000002e+001   1.4603015700000002e+001
>
> Number of objective function evaluations             = 1
> Number of objective gradient evaluations             = 1
> Number of equality constraint evaluations            = 0
> Number of inequality constraint evaluations          = 1
> 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)   =      0.828
> Total CPU secs in NLP function evaluations           =      0.172
> EXIT: Restoration Failed!
> Ipopt 3.8.0: Restoration Phase Failed.
> suffix ipopt_zU_out OUT;
> suffix ipopt_zL_out OUT;
> ampl:
>
>
> -- 
> Muhammad Saqib Ilyas
> PhD Student, Computer Science and Engineering
> Lahore University of Management Sciences
>