nagcpp::opt::handle_solve_bounds_foas Example ------------------------------------------------------------------------------- E04KF, First order method for bound-constrained problems ------------------------------------------------------------------------------- Status: converged, an optimal solution was found Value of the objective 4.00000E-02 Norm of inactive gradient 0.00000E+00 Norm of projected direction 0.00000E+00 Variables: idx lower bound value upper bound gradient 1 -1.00000E+00 8.00000E-01 8.00000E-01 -4.00000E-01 2 -2.00000E+00 6.40000E-01 2.00000E+00 0.00000E+00 Solution found: Objective function value at solution: 4.0e-02 Monitoring Information: ------------------------------------------------------------------------------- E04KF, First order method for bound-constrained problems ------------------------------------------------------------------------------- Begin of Options Print File = 6 * d Print Level = 1 * U Print Options = No * U Print Solution = All * U Monitoring File = 50 * U Monitoring Level = 3 * U Foas Monitor Frequency = 0 * d Foas Print Frequency = 5 * U Infinite Bound Size = 1.00000E+20 * d Task = Minimize * d Stats Time = No * d Time Limit = 1.00000E+06 * d Verify Derivatives = No * d Foas Estimate Derivatives = No * d Foas Finite Diff Interval = 1.05367E-08 * d Foas Iteration Limit = 10000000 * d Foas Memory = 11 * d Foas Progress Tolerance = 1.08158E-12 * d Foas Rel Stop Tolerance = 1.08158E-12 * d Foas Restart Factor = 6.00000E+00 * d Foas Slow Tolerance = 1.01316E-02 * d Foas Stop Tolerance = 1.00000E-06 * d Foas Tolerance Norm = Infinity * d End of Options Problem statistics Number of variables 2 Number of free variables 0 Number of fixed variables 0 Number of variables with only lower bound 0 Number of variables with only upper bound 0 Number of variables with bounds 2 Objective type Nonlinear ------------------------------------------------------------------------------- iters | objective | optim | dir | progrss | it| step | nf| ng ------------------------------------------------------------------------------- 0 8.50000E+01 1.80E+02 3.90E+00 1.00E+00 Start 1 1 3 4.00000E+00 0.00E+00 1.80E+00 4.05E+01 NPG 1.00E+00 3 2 5 3.99156E+00 2.80E+00 2.80E+00 7.05E-03 Switch CG 12 3 7 3.97076E+00 5.76E+00 1.79E+00 6.84E-03 CG 6.24E-03 17 6 12 1.97065E+00 6.49E+00 1.88E+00 5.66E-02 LCG 1.75E-01 29 13 17 8.94996E-01 8.97E+00 2.02E+00 3.25E-01 LCG 1.41E+00 39 18 22 2.51003E-01 2.68E+00 1.75E+00 2.54E-01 LCG 3.63E-01 52 27 27 5.37636E-02 3.33E+00 1.80E+00 2.55E-01 LCG 3.25E-01 62 32 28 4.02960E-02 3.44E-01 3.44E-01 1.59E-01 LCG 1.33E-01 65 34 32 4.00000E-02 0.00E+00 0.00E+00 4.68E-03 CG 5.00E-03 75 36 ------------------------------------------------------------------------------- Status: converged, an optimal solution was found ------------------------------------------------------------------------------- Value of the objective 4.00000E-02 Norm of inactive gradient 0.00000E+00 Norm of projected direction 0.00000E+00 Iterations 32 Function evaluations 75 FD func. evaluations 0 Gradient evaluations 36 NPG function calls 18 NPG gradient calls 3 CG function calls 9 CG gradient calls 5 LCG function calls 48 LCG gradient calls 28 ------------------------------------------------------------------------------- Variables: idx lower bound value upper bound gradient 1 -1.00000E+00 8.00000E-01 8.00000E-01 -4.00000E-01 2 -2.00000E+00 6.40000E-01 2.00000E+00 0.00000E+00