/** \page example2_out
**********************************************************
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.
For more information, see the COPYRIGHT and README files in the top
OPT++ directory.
**********************************************************
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
*/