[Ipopt] Solved To An Acceptable Level with less than acceptable_iter iterations completed

[Neil Windelinckx]

Hi,

 

I have an optimisation which solves to within acceptable tolerances
(solved with message EXIT: Solved To Acceptable Level.) in 9 iterations

But the acceptable_iter option is set to 15, so how is it possible for
the optimisation to come to an acceptable solution in 9 iterations?

 

I'm using ipopt version 3.2.1 using the pardiso solver.

 

 

Number of nonzeros in equality constraint Jacobian...:        0

Number of nonzeros in inequality constraint Jacobian.:      778

Number of nonzeros in Lagrangian Hessian.............:        0

 

Total number of variables............................:      133

                     variables with only lower bounds:        0

                variables with lower and upper bounds:      133

                     variables with only upper bounds:        0

Total number of equality constraints.................:        0

Total number of inequality constraints...............:        6

        inequality constraints with only lower bounds:        0

   inequality constraints with lower and upper bounds:        0

        inequality constraints with only upper bounds:        6

 

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du
alpha_pr  ls

   0 1.3447041e+004 0.00e+000 7.07e+000   0.0 0.00e+000    -  0.00e+000
0.00e+000   0

   1 1.0066625e+004 1.38e+002 7.77e+000   1.1 1.41e+001    -  9.90e-001
9.20e-002f  2

   2 7.4745524e+003 1.93e+001 3.13e+000   0.5 4.22e+002    -  9.67e-001
1.00e+000h  1

   3 5.9017625e+003 1.90e+001 1.80e+000   0.3 5.16e+002    -  1.00e+000
9.68e-001h  1

   4 5.8328967e+003 8.87e-001 3.08e+000  -1.8 2.42e+002    -  9.86e-001
1.00e+000h  1

   5 5.7464832e+003 3.16e+002 2.68e+000  -1.4 1.88e+004    -  1.00e+000
6.50e-001F  1

   6 5.6115824e+003 5.77e+000 4.92e-001  -2.0 1.02e+002    -  1.00e+000
1.00e+000h  1

   7 5.6001170e+003 3.79e-002 4.51e-003  -3.7 1.25e+001    -  1.00e+000
1.00e+000h  1

   8 5.6000010e+003 3.84e-004 3.99e-004  -5.8 1.78e+000    -  1.00e+000
1.00e+000h  1

   9 5.6000001e+003 6.24e-005 3.64e-006  -7.0 4.42e-001    -  1.00e+000
1.00e+000h  1

 

Number of Iterations....: 9

 

                                   (scaled)                 (unscaled)

Objective...............:  2.7773800591066699e+001
5.6000000681350984e+003

Dual infeasibility......:  3.6350855810964256e-006
7.3293820322035638e-004

Constraint violation....:  0.0000000000000000e+000
0.0000000000000000e+000

Complementarity.........:  9.1302384237744727e-008
1.8409196691529583e-005

Overall NLP error.......:  3.6350855810964256e-006
7.3293820322035638e-004

 

 

Number of objective function evaluations             = 38

Number of objective gradient evaluations             = 11

Number of equality constraint evaluations            = 0

Number of inequality constraint evaluations          = 38

Number of equality constraint Jacobian evaluations   = 0

Number of inequality constraint Jacobian evaluations = 11

Number of Lagrangian Hessian evaluations             = 0

Total CPU secs in IPOPT (w/o function evaluations)   =      0.093

Total CPU secs in NLP function evaluations           =      0.000

 

EXIT: Solved To Acceptable Level.

 

 

Thanks Neil.

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