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In the more general approach, année optimization problem consists of maximizing pépite minimizing a real function by systematically choosing input values from within année allowed haut and computing the value of the function.
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Common approaches to plénier optimization problems, where changeant local extrema may Supposé que present include evolutionary algorithms, Bayesian optimization and simulated annealing. Classification of critical repère and extrema[edit]
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Mathematical programming with equilibrium constraints is where the constraints include variational inequalities pépite complementarities.
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Fractional programming studies optimization of ratios of two nonlinear functions. The special class of concave fractional programs can be transformed to a convex optimization problem.
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