--- Job jbearing100 Start 09/21/08 03:28:22 LNX-LX3 22.9.0 x86/Linux GAMS Rev 229 Copyright (C) 1987-2008 GAMS Development. All rights reserved *** ************* ALFA release *** GAMS Base Module ALFA 10Sep08 22.9.0 LNX 6574.6578 LX3 x86/Linux *** ************* ALFA release Licensee: Stefan Vigerske G080908/0001CB-LNX Humboldt University Berlin, Numerical Mathematics DC5918 --- Starting compilation --- jbearing100.gms(21618) 5 Mb --- Starting execution: elapsed 0:00:00.432 --- jbearing100.gms(21614) 6 Mb --- Generating NLP model m --- jbearing100.gms(21618) 13 Mb --- 1 rows 5,305 columns 5,305 non-zeroes --- 376,589 nl-code 5,304 nl-non-zeroes --- jbearing100.gms(21618) 10 Mb --- Executing IPOPT: elapsed 0:00:01.224 GAMS/Ipopt NLP Solver (IPOPT Library 3.5) written by A. Waechter List of user-set options: Name Value used acceptable_tol = 1e-08 yes compl_inf_tol = 0.0001 yes constr_viol_tol = 0.0001 yes linear_solver = ma27 yes tol = 1e-08 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 ****************************************************************************** This is Ipopt version 3.5stable, running with linear solver ma27. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 0 Number of nonzeros in Lagrangian Hessian.............: 14850 Total number of variables............................: 5000 variables with only lower bounds: 5000 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 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 2.4439928e+01 0.00e+00 1.10e+00 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.8914024e+01 0.00e+00 9.45e-02 -6.5 3.41e-01 - 9.13e-01 1.00e+00f 1 2 1.0856000e+01 0.00e+00 1.13e-01 -2.8 3.00e-01 - 5.24e-01 1.00e+00f 1 3 5.5909221e+00 0.00e+00 9.97e-02 -3.9 2.05e-01 - 4.49e-01 1.00e+00f 1 4 2.7413936e+00 0.00e+00 6.87e-02 -8.1 1.53e-01 - 4.91e-01 1.00e+00f 1 5 1.3580215e+00 0.00e+00 3.72e-02 -3.7 1.12e-01 - 5.89e-01 1.00e+00f 1 6 5.3960327e-01 0.00e+00 7.99e-03 -4.4 1.02e-01 - 8.47e-01 1.00e+00f 1 7 2.4179275e-02 0.00e+00 5.57e-15 -9.3 1.09e-01 - 1.00e+00 1.00e+00f 1 8 -1.2636517e-01 0.00e+00 6.66e-11 -5.2 6.72e-02 - 1.00e+00 1.00e+00f 1 9 -1.5078947e-01 0.00e+00 1.41e-11 -5.9 2.75e-02 - 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 -1.5354114e-01 0.00e+00 6.26e-04 -11.0 8.50e-03 - 1.00e+00 6.02e-01f 1 11 -1.5479809e-01 0.00e+00 8.77e-05 -7.2 4.23e-03 - 1.00e+00 9.17e-01f 1 12 -1.5499234e-01 0.00e+00 5.36e-05 -8.0 5.94e-04 - 1.00e+00 8.91e-01f 1 13 -1.5503388e-01 0.00e+00 1.58e-05 -8.7 1.55e-04 - 1.00e+00 9.44e-01f 1 14 -1.5504111e-01 0.00e+00 1.20e-07 -9.6 5.28e-05 - 1.00e+00 9.99e-01f 1 15 -1.5504186e-01 0.00e+00 2.48e-07 -10.6 2.27e-05 - 1.00e+00 9.96e-01f 1 16 -1.5504194e-01 0.00e+00 1.86e-16 -11.0 9.69e-06 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 16 (scaled) (unscaled) Objective...............: -1.5504194282553535e-01 -1.5504194282553535e-01 Dual infeasibility......: 1.8647740288718703e-16 1.8647740288718703e-16 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.9846115915403703e-10 2.9846115915403703e-10 Overall NLP error.......: 2.9846115915403703e-10 2.9846115915403703e-10 Number of objective function evaluations = 17 Number of objective gradient evaluations = 17 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 0 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 0 Number of Lagrangian Hessian evaluations = 16 Total CPU secs in IPOPT (w/o function evaluations) = 0.484 Total CPU secs in NLP function evaluations = 9.973 EXIT: Optimal Solution Found. GAMS/Ipopt finished. --- Restarting execution --- jbearing100.gms(21618) 0 Mb --- Reading solution for model m *** Status: Normal completion --- Job jbearing100.gms Stop 09/21/08 03:28:35 elapsed 0:00:12.646