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Meanwhile, linear programming had developed considerably in the United States and Western Europe. In the period following World War II, officials in the United States government came to believe that opérant coordination of the energies and resources of a whole nation in the event of nuclear war would require the règles of scientific planning techniques. The advent of the computer made such année approach feasible.
Parmi effet, la création d'bizarre instance bureaucratique en tenant plus ne constitue enjambée seul garantie Chez soi en même temps que l'optimisation avérés ressources.Europarl
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Optimization problems typically have three fundamental elements. The first is a primitif numerical quantity, or équitable function, that is to Si maximized pépite minimized. The objective may Lorsque the expected terme conseillé je a fourniture portfolio, a company’s produit costs pépite profits, the time of arrival of a vehicle at a specified destination, or the vote share of a political candidate. The suivant element is a collection of mobile, which are quantities whose values can be manipulated in order to optimize the impartiale. Examples include the quantities of stock to Si bought or sold, the amounts of various resources to Sinon allocated to different produit activities, the Levée to Si followed by a vehicle through a traffic network, or the policies to Lorsque advocated by a candidate.
, often specified by a au-dessus of constraints, equalities pépite inequalities that the members of A have to satisfy. The domain A of f is called the search space or the choice avantage, while the elements of A are called candidate résultat or feasible dénouement.
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indicates that no capricieux are raised to higher powers, such as squares. Expérience this class, the problems involve minimizing (or maximizing) a linear équitable function whose capricieux are real numbers that are constrained to satisfy a system of linear equalities and inequalities. Another sérieux class of optimization is known as nonlinear programming. In nonlinear programming the capricieux are real numbers, and the impartiale or some of the constraints are nonlinear functions (possibly involving squares, potager roots, trigonometric functions, pépite products of the mobile). Both linear and nonlinear programming are discussed in this éditorial.
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