Why does my optimization stop after the first iteration?
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I do not know much about numerical optimization. My question is, what are possible reasons for fmincon to stop after 0 iterations. Here are the clues:
- I do not provide a gradient or hessian.
- It stops because:"size of the current step is less thanthe default value of the step size tolerance and constraints are satisfied to within the default value of the constraint tolerance"
- feasibility is 0.0000,First-order optimality is 1.206e+09
- Using patternsearch works and it finds the optimum
Another question: I suspect, that patternsearch is much slower than fmincon when the number of arguments increases, right?
Thank you for your time.
3 comentarios
Matt J
el 26 de En. de 2016
Editada: Matt J
el 26 de En. de 2016
This should be a number as small as possible, right?
First order optimality isn't the only criterion that can trigger a stop. Also, to be considered small, a value for the first-order optimality measure need only be small relative to typical magnitudes of the function's derivative. Try this simple problem, for instance,
[x,fval,ef,out]=fmincon(@(x) 1e18*x^2,.5,[],[],[],[],0,1)
You will see that out.firstorderopt is ~1e9.
Bottom line -- we really need to see your code.
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