[Ipopt] ERRORS in a BIG PROBLEM

[Juan Carlos Lopez Alfonso]

Hi there:

I have a question. What is the difference between
(MUMPS returned INFO(1) =-13 - out or memory) and (MUMPS returned INFO(1) =
-9 and requires more memory)

On the other hand, I have this "big problem" and the results that are
showed below. Could anyone give suggestions about these results? because, I
dont know what happens.

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List of user-set options:

                                    Name   Value                used
              acceptable_constr_viol_tol = 1e-06                 yes
                         acceptable_iter = 1000000               yes
                          acceptable_tol = 1e-06                 yes
                         constr_viol_tol = 1e-07                 yes
                                max_iter = 1000000               yes
                       mumps_mem_percent = 5                     yes
                      print_user_options = yes                   yes
                                     tol = 1e-07                 yes

******************************************************************************
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 3.9.1, running with linear solver mumps.

Number of nonzeros in equality constraint Jacobian...:   110972
Number of nonzeros in inequality constraint Jacobian.: 78413292
Number of nonzeros in Lagrangian Hessian.............:196033230

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............................:  3276415
                     variables with only lower bounds:        0
                variables with lower and upper bounds:  3276415
                     variables with only upper bounds:        0
Total number of equality constraints.................:   110972
Total number of inequality constraints...............: 19603323
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:        0
        inequality constraints with only upper bounds: 19603323

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du
alpha_pr  ls
   0  1.9600306e+02 1.94e+01 1.00e+00  -1.0 0.00e+00    -  0.00e+00
0.00e+00   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.
   1r 1.9600306e+02 1.94e+01 9.99e+02   1.3 0.00e+00    -  0.00e+00
0.00e+00R  1
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 1.446106e-11. Abort.
Restoration phase in the restoration phase failed.

Number of Iterations....: 1

                                   (scaled)                 (unscaled)
Objective...............:   1.9600305635355701e+02    1.9600305635355701e+02
Dual infeasibility......:   1.0000000000000000e+00    1.0000000000000000e+00
Constraint violation....:   1.9434702993007996e+01    1.9434702993007996e+01
Complementarity.........:   1.4473599800000002e+01    1.4473599800000002e+01
Overall NLP error.......:   1.9434702993007996e+01    1.9434702993007996e+01


Number of objective function evaluations             = 2
Number of objective gradient evaluations             = 2
Number of equality constraint evaluations            = 2
Number of inequality constraint evaluations          = 2
Number of equality constraint Jacobian evaluations   = 2
Number of inequality constraint Jacobian evaluations = 2
Number of Lagrangian Hessian evaluations             = 2
Total CPU secs in IPOPT (w/o function evaluations)   =    668.498
Total CPU secs in NLP function evaluations           =    507.836

EXIT: Restoration Failed!

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Thank you in advance and waiting answers
Juan Carlos
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