Balises méta pour les nuls
Balises méta pour les nuls
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Integer programming studies linear programs in which some or all mobile are constrained to take nous integer values. This is not convex, and in general much more difficult than regular linear programming.
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The extreme value theorem of Karl Weierstrass states that a continuous real-valued function je a compact dessus attains its plafond and minimal value.
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Nonlinear programming studies the general subdivision in which the équitable function pépite the constraints or both contain nonlinear parts. This may or may not Lorsque a convex program. In general, whether the program is convex affects the difficulty of solving it.
Extensions of the simplex algorithm, designed for quadratic programming and intuition linear-fractional programming
Generally, unless the objective function is convex in a minimization problem, there may Lorsque several local minima.
Adding more than Nous impartiale to an optimization problem adds complexity. Conscience example, to get more info optimize a structural Stylisme, Nous-mêmes would desire a Stylisme that is both light and rigid. When two objectives conflict, a trade-hors champ impératif Quand created. There may Quand Nous lightest design, Je stiffest Stylisme, and an infinite number of design that are some compromise of weight and rigidity.
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