--- Job minsurf50 Start 09/21/08 03:29:17 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 --- minsurf50.gms(7574) 3 Mb --- Starting execution: elapsed 0:00:00.163 --- minsurf50.gms(7570) 4 Mb --- Generating NLP model m --- minsurf50.gms(7574) 8 Mb --- 1 rows 2,705 columns 2,705 non-zeroes --- 171,669 nl-code 2,704 nl-non-zeroes --- minsurf50.gms(7574) 6 Mb --- Executing IPOPT: elapsed 0:00:00.355 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.............: 9801 Total number of variables............................: 2500 variables with only lower bounds: 2500 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 2.5816270e+00 0.00e+00 1.02e+00 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 2.5724580e+00 0.00e+00 2.55e-02 -6.4 1.20e-02 - 9.75e-01 1.00e+00f 1 2 2.6050391e+00 0.00e+00 2.13e-02 -2.9 1.68e-01 - 8.97e-01 1.00e+00f 1 3 3.0906097e+00 0.00e+00 3.69e-02 -3.0 4.31e-01 - 3.83e-01 1.00e+00f 1 4 3.3976177e+00 0.00e+00 1.95e-02 -3.0 3.61e-01 - 7.44e-01 1.00e+00f 1 5 3.6185722e+00 0.00e+00 4.67e-03 -3.0 1.72e-01 - 1.00e+00 1.00e+00f 1 6 2.8983768e+00 0.00e+00 8.63e-03 -4.5 5.84e-01 - 1.00e+00 5.67e-01f 1 7 2.7306235e+00 0.00e+00 1.63e-02 -4.5 3.18e-01 - 1.00e+00 4.40e-01f 1 8 2.5679957e+00 0.00e+00 2.34e-03 -4.5 2.90e-01 - 1.00e+00 8.22e-01f 1 9 2.5338892e+00 0.00e+00 1.34e-03 -6.0 1.70e-01 - 1.00e+00 6.37e-01f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 2.5224527e+00 0.00e+00 2.53e-03 -10.9 8.31e-02 - 9.99e-01 5.60e-01f 1 11 2.5177138e+00 0.00e+00 2.02e-03 -11.0 4.33e-02 - 1.00e+00 5.85e-01f 1 12 2.5158737e+00 0.00e+00 1.16e-03 -11.0 2.16e-02 - 1.00e+00 6.39e-01f 1 13 2.5151817e+00 0.00e+00 4.13e-04 -7.3 8.73e-03 - 1.00e+00 7.71e-01f 1 14 2.5149440e+00 0.00e+00 6.27e-06 -8.2 4.52e-03 - 1.00e+00 1.00e+00f 1 15 2.5149030e+00 0.00e+00 4.56e-07 -9.2 1.72e-03 - 1.00e+00 1.00e+00f 1 16 2.5148926e+00 0.00e+00 5.90e-08 -10.0 8.64e-04 - 1.00e+00 1.00e+00f 1 17 2.5148900e+00 0.00e+00 7.45e-09 -11.0 4.34e-04 - 1.00e+00 1.00e+00f 1 Number of Iterations....: 17 (scaled) (unscaled) Objective...............: 2.5148900266335703e+00 2.5148900266335703e+00 Dual infeasibility......: 7.4519334002098869e-09 7.4519334002098869e-09 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 3.3002084366104800e-09 3.3002084366104800e-09 Overall NLP error.......: 7.4519334002098869e-09 7.4519334002098869e-09 Number of objective function evaluations = 18 Number of objective gradient evaluations = 18 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 = 17 Total CPU secs in IPOPT (w/o function evaluations) = 0.272 Total CPU secs in NLP function evaluations = 3.076 EXIT: Optimal Solution Found. GAMS/Ipopt finished. --- Restarting execution --- minsurf50.gms(7574) 0 Mb --- Reading solution for model m *** Status: Normal completion --- Job minsurf50.gms Stop 09/21/08 03:29:21 elapsed 0:00:04.123