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sage.numerical.optimize.minimize_constrained versus fmincon

Matlab has this function:

And as far as I can tell, Sage's closest equivalent is this:

I use the inequality feature of fmincon. I think that the cons lambdas can achieve the same thing, although: will the performance worsen? Since fmincon can run an interior-point method with knowledge of the boundary, will the convergence be better there than with minimize_constrained? Is there some implementation of an interior-point method that I'm not seeing in Sage?