[Ipopt] mumps out of memory
Andreas Waechter
andreasw at watson.ibm.com
Tue Jul 20 16:44:56 EDT 2010
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
>
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