FunctionTolerance parameter has no effect on fmincon - is it a bug?
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The FunctionTolerance parameter specified with the optimoptions function has no effect on the fmincon solver. Here is an example:
options = optimoptions(@fmincon, 'FunctionTolerance', 1, 'Display', 'iter');
fmincon(@(x) rastriginsfcn (x), [4, 4], [], [], [], [], [-5.12, -5.12], ...
[5.12, 5.12], [], options)
The solver produces the following output:
First-order Norm of
Iter F-count f(x) Feasibility optimality step
0 3 3.200000e+01 0.000e+00 7.947e+00
1 7 2.972638e+01 0.000e+00 5.588e+01 5.192e+00
2 12 2.384965e+00 0.000e+00 1.253e+01 1.917e+00
3 17 2.350732e+00 0.000e+00 1.182e+01 8.742e-02
4 20 1.989923e+00 0.000e+00 3.434e-02 4.261e-02
5 23 1.989918e+00 0.000e+00 4.849e-03 1.484e-04
6 26 1.989918e+00 0.000e+00 4.849e-05 4.239e-06
7 29 1.989918e+00 0.000e+00 4.848e-07 5.641e-08
Local minimum found that satisfies the constraints.
Optimization completed because the objective function is non-decreasing in
feasible directions, to within the default value of the optimality tolerance,
and constraints are satisfied to within the default value of the constraint tolerance.
<stopping criteria details>
ans =
-0.9950 -0.9950
If the FunctionTolerance parameter were considered, then the optimization would stop at the third iteration because the difference between the objective function values was less than 1. However, that did not happen.
Is such behavior a bug?
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更多回答(2 个)
Alan Weiss
2016-5-20
0 个投票
The documentation is certainly lacking on this subject. Sorry about this lacuna. I will correct the documentation in a future release.
Meanwhile, as John showed, the optimoptions function enables you to check which options are used by each solver and each algorithm.
Alan Weiss
MATLAB mathematical toolbox documentation
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