problem_1.log

******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt
******************************************************************************

This is Ipopt version trunk, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).

Number of nonzeros in equality constraint Jacobian...:        0
Number of nonzeros in inequality constraint Jacobian.:        0
Number of nonzeros in Lagrangian Hessian.............:        0

Total number of variables............................:        2
                     variables with only lower bounds:        1
                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  9.0900000e+02 0.00e+00 1.00e+02   0.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  2.6290934e+01 0.00e+00 9.58e+00   1.4 1.00e+02    -  9.57e-01 3.12e-02f  6
   2  1.0829775e-01 0.00e+00 2.77e-01  -7.5 3.46e-01    -  1.00e+00 5.00e-01f  2
   3  9.2112970e-02 0.00e+00 6.09e-02  -4.7 5.16e-03    -  1.00e+00 1.00e+00f  1
   4  9.1369784e-02 0.00e+00 8.38e-03  -6.6 9.47e-04    -  1.00e+00 1.00e+00f  1
   5  9.1325188e-02 0.00e+00 8.95e-03  -8.4 1.85e-04    -  1.00e+00 1.00e+00f  1
   6  8.7041679e-02 0.00e+00 6.37e-02 -11.0 2.25e-02    -  1.00e+00 1.00e+00f  1
   7  6.6709041e-02 0.00e+00 1.19e-01 -11.0 1.06e-01    -  1.00e+00 1.00e+00f  1
   8  4.8088411e-02 0.00e+00 3.66e-01 -11.0 1.90e+01    -  1.00e+00 2.00e-02f  4
   9  3.9643744e-02 0.00e+00 5.86e-02 -11.0 2.45e-01    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10  2.5321043e-02 0.00e+00 2.28e-02 -11.0 9.01e-02    -  1.00e+00 1.00e+00f  1
  11  1.8458601e-02 0.00e+00 1.82e-01 -11.0 2.99e-01    -  1.00e+00 5.00e-01f  2
  12  1.1355980e-02 0.00e+00 6.37e-02 -11.0 1.86e-02    -  1.00e+00 1.00e+00f  1
  13  6.0175823e-03 0.00e+00 2.24e-02 -11.0 5.27e-02    -  1.00e+00 1.00e+00f  1
  14  5.2443766e-03 0.00e+00 7.43e-02 -11.0 1.20e+00    -  1.00e+00 3.12e-02f  6
  15  1.4371689e-03 0.00e+00 3.59e-02 -11.0 5.71e-02    -  1.00e+00 1.00e+00f  1
  16  2.9630625e-04 0.00e+00 9.38e-03 -11.0 3.15e-02    -  1.00e+00 1.00e+00f  1
  17  6.6746409e-05 0.00e+00 1.35e-02 -11.0 3.09e-02    -  1.00e+00 1.00e+00f  1
  18  1.3669628e-05 0.00e+00 6.05e-03 -11.0 8.93e-04    -  1.00e+00 1.00e+00f  1
  19  6.1631909e-10 0.00e+00 8.29e-06 -11.0 1.32e-03    -  1.00e+00 1.00e+00f  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  20  3.4191292e-12 0.00e+00 9.01e-07 -11.0 4.52e-05    -  1.00e+00 1.00e+00f  1
  21  5.0069951e-18 0.00e+00 3.51e-09 -11.0 3.54e-06    -  1.00e+00 1.00e+00f  1

Number of Iterations....: 21

                                   (scaled)                 (unscaled)
Objective...............:   2.0810453596161274e-19    5.0069951352364023e-18
Dual infeasibility......:   3.5062553419494093e-09    8.4360503527302779e-08
Constraint violation....:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   9.9999999999799580e-12    2.4059999999951778e-10
Overall NLP error.......:   3.5062553419494093e-09    8.4360503527302779e-08


Number of objective function evaluations             = 57
Number of objective gradient evaluations             = 22
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             = 0
Total CPU secs in IPOPT (w/o function evaluations)   =      0.017
Total CPU secs in NLP function evaluations           =      0.000

EXIT: Optimal Solution Found.