How to optimize an objective function with repect to two variables using fmincon?

2022 5 8
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Star Strider
Star Strider 2022-5-8
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The general approach to maximising a function is to negate it so the minimum that the optimisation functions find is actually the function maximum.
f = @(a,b) (-90*a-90*b+540);
[ab,fv] = fmincon(@(ab) -f(ab(1),ab(2)), rand(2,1), [],[],[],[],[3 -Inf],[inf 8]);
Problem appears unbounded. fmincon stopped because the objective function value is less than the value of the objective function limit and constraints are satisfied to within the value of the constraint tolerance.
fprintf('\n\ta = %23.15E\n\tb = %23.15E\n\tfv = %23.15E\n\n',ab,fv)
a = 1.792516492505127E+12 b = -1.880962606528041E+18 fv = -1.692864732610394E+20
The problem appears to not be well-posed.
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