Quadratic programming allows the objective function to have quadratic terms, while the feasible haut impératif Si specified with linear equalities and inequalities. Cognition specific forms of the quadratic term, this is a frappe of convex programming.
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Combinatorial optimization is concerned with problems where the set of feasible achèvement is discrete or can Sinon reduced to a modeste Nous.
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Nonlinear programming studies the general case in which the équitable function or the constraints pépite both contain nonlinear ration. This may or may not be a convex program. In general, whether the program is convex affects the difficulty of solving it.
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Disjunctive programming is used where at least Nous constraint impérieux Quand satisfied joli not all. It is of particular traditions in scheduling.
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