Fmincon and fminimax as optimisers

How well does fmincon work was as an optimiser for a bounded function with no inequality constraints compared to the fminimax. And why would one be better than the other.

Answer 1

[Walter Roberson]

fminimax() is for objective functions that return non-scalars and you want to minimize the maximum of the non-scalar values returned.

fmincon() can only handle functions that return scalar values.

You might think of using @(x) max(YourNonScalarFunction(x)) with fmincon, but max() is not a continuous function, and fmincon() is only designed for continuous functions.

For the case of a function that returns a scalar and has the needed continuity, fmincon() would be expected to be more efficient.

[serge ayao]

Thank you, this explanation has helped me out a lot