OPT++ version 2 Job run at Thu Feb 14 17:30:20 2002
Copyright (c) 2001, Sandia Corporation. Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive license for use of this work by or on behalf of the U.S. Government. Export of this program may require a license from the United States Government.
This software is distributed under the GNU General Public License.
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NIPS Iteration Summary
Nonlinear Interior-Point Method Method with Trust Regions Initial Trust Region = 1.1384e-01 1 1.0743e+00 9.3086e-01 9.6100e-01 1.4982e+03 2 0 1.00e+02 2 1.8765e+00 9.3086e-01 1.3381e-01 7.2604e+02 4 1 1.00e+02 3 2.4281e+00 9.3086e-01 1.0000e+00 6.9547e+02 5 1 1.00e+02 4 1.2104e+00 9.3086e-03 9.3807e-01 1.4955e+02 6 1 1.00e+02 5 9.3918e-01 9.3086e-03 7.9395e-01 6.1965e+01 7 1 1.00e+02 6 9.6511e-01 9.3086e-03 1.0000e+00 3.8113e+01 8 1 1.00e+02 7 9.6301e-01 9.3086e-03 1.0000e+00 3.7888e+01 9 1 1.00e+02 8 9.5352e-01 9.3086e-05 9.9773e-01 1.6731e+00 10 1 1.00e+02 9 9.5362e-01 9.3086e-05 1.0000e+00 1.6229e+00 11 1 1.00e+02 10 9.5353e-01 9.3086e-07 1.0000e+00 9.6322e-01 12 1 1.00e+02 L2 norm = 1.7443e-06 ftol = 1.0000e-06
========= Solution from nips ===========
Optimization method = Nonlinear Interior-Point Method Dimension of the problem = 3 No. equalities = 0 No. inequalities = 7 Merit Function (0= NormFmu, 1 = Argaez, 2 = Vanderbei) = 1 Return code = 2 (OptNIPSLike: Algorithm converged) No. iterations taken = 10 No. function evaluations = 12 No. gradient evaluations = 11
========= Solution from nips ===========
i xc grad fcn_accrcy 1 3.6505e+00 -5.9979e-01 2.2204e-16 2 3.6505e+00 -5.9979e-01 2.2204e-16 3 4.6204e+00 -7.5917e-01 2.2204e-16 Function Value = 9.5353e-01 Norm of gradient = 1.1384e+00
==============================================
========= Solution from nips ===========
i y
=====================================
i z s
1 8.2153e-02 1.1190e-05 2 1.1416e-07 8.1505e+00 3 1.1416e-07 8.1505e+00 4 9.6695e-08 9.6204e+00 5 1.1004e-06 8.4954e-01 6 1.1004e-06 8.4954e-01 7 2.4932e-06 3.7958e-01
========== Tolerances ===========
Machine Epsilon = 2.22045e-16 Maximum Step = 1000 Minimum Step = 1.49012e-08 Maximum Iter = 150 Maximum Backtracks = 5 Maximum Fcn Eval = 1000 Step Tolerance = 1.49012e-08 Function Tolerance = 1e-06 Constraint Tolerance = 1.49012e-08 Gradient Tolerance = 6.05545e-06 LineSearch Tolerance = 0.0001