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/** \page subroutine2_out<pre>**********************************************************OPT++ version 2Job run at Thu Apr 10 09:36:12 2003********************************************************** NIPS Iteration Summary Nonlinear Interior-Point Method Method with Line Search Merit Function = 1 Iter F(x) mu alpha Merit feval btracks Penalty 0 1.3935e+00 2.3609e-01 1 1.6487e+00 2.3609e-01 1.0000e+00 5.9613e+01 2 0 1.00e+02 2 1.4267e+00 2.3609e-03 1.0000e+00 6.1656e+00 3 0 1.00e+02 3 1.3961e+00 2.3609e-03 1.0000e+00 3.0604e+00 4 0 1.00e+02 4 1.3935e+00 2.3609e-05 1.0000e+00 1.4210e+00 5 0 1.00e+02 5 1.3935e+00 2.3609e-07 1.0000e+00 1.3938e+00 6 0 1.00e+02 6 1.3935e+00 2.3609e-09 1.0000e+00 1.3935e+00 7 0 1.00e+02L2 norm = 1.6694e-09 ftol = 1.4900e-08========= Solution ===========Optimization method = Nonlinear Interior-Point MethodDimension of the problem = 2No. equalities = 1No. inequalities = 1Merit Function (0= NormFmu, 1 = Argaez, 2 = Vanderbei) = 1Return code = 2 (OptNIPSLike: Algorithm converged)No. iterations taken = 6No. function evaluations = 7No. gradient evaluations = 21No. backtracks in lnsrch = 0========= Solution =========== i xc grad fcn_accrcy 1 8.2288e-01 -2.3542e+00 2.2204e-16 2 9.1144e-01 -1.7712e-01 2.2204e-16Function Value = 1.3935e+00Norm of gradient = 2.3609e+00======================================================= Solution =========== i y 1 -1.5945e+00===================================== i z s 1 1.8466e+00 1.2785e-09========== Tolerances ===========Machine Epsilon = 2.22045e-16Maximum Step = 1000Minimum Step = 1.49e-08Maximum Iter = 100Maximum Backtracks = 5Maximum Fcn Eval = 10000Step Tolerance = 1.49e-08Function Tolerance = 1.49e-08Constraint Tolerance = 1.49e-08Gradient Tolerance = 6.05e-06LineSearch Tolerance = 0.0001</pre>*/
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