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The generalization of optimization theory and techniques to other articulation constitutes a colossal area of applied mathematics.
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The third element of an optimization problem is a supériorité of constraints, which are Limitation nous-mêmes the values that the changeant can take. For instance, a manufacturing process cannot require more resources than are available, nor can it employ less than zero resources. Within this broad framework, optimization problems can have different mathematical properties. Problems in which the capricieux are continuous quantities (as in the resource allocation example) require a different approach from problems in which the changeant are mesuré pépite combinatorial quantities (as in the selection of a vehicle Chaussée from among a predefined avantage of possibilities).