- linear programming theory
- теория линейного программирования
Англо-русский словарь по экономике и финансам. — М.: Экономическая школа. А.В. Аникин, И.М. Оседчая, Б.Г. Федоров. 1993.
linear programming theory
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Linear programming — (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model for some list of requirements represented as linear relationships.… … Wikipedia
Linear programming — Dieser Artikel oder Abschnitt ist nicht hinreichend mit Belegen (Literatur, Webseiten oder Einzelnachweisen) versehen. Die fraglichen Angaben werden daher möglicherweise demnächst gelöscht. Hilf Wikipedia, indem du die Angaben recherchierst und… … Deutsch Wikipedia
Theory of constraints — Part of a series of articles on Industry Manufacturing methods Batch production • Job production Continuous production Improvement method … Wikipedia
Linear partial information — (LPI) is a method of making decisions based on insufficient or fuzzy information. LPI was introduced in 1970 by Polish Swiss mathematician Edward Kofler (1911 2007) to simplify decision processes. Comparing to other methods the LPI fuzziness is… … Wikipedia
Linear complementarity problem — In mathematical optimization theory, the linear complementarity problem, or LCP, is a special case of quadratic programming which arises frequently in computational mechanics. Given a real matrix M and vector b, the linear complementarity problem … Wikipedia
Linear congruential generator — A linear congruential generator (LCG) represent one of the oldest and best known pseudorandom number generator algorithms. [ [http://demonstrations.wolfram.com/LinearCongruentialGenerators/ Linear Congruential Generators] by Joe Bolte, The… … Wikipedia
Linear matrix inequality — In convex optimization, a linear matrix inequality (LMI) is an expression of the form: LMI(y):=A 0+y 1A 1+y 2A 2+cdots+y m A mgeq0,where * y= [y i,, i!=!1dots m] is a real vector, * A 0,, A 1,, A 2,,dots,A m are symmetric matrices in the subspace … Wikipedia
Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… … Wikipedia
Complementarity theory — This article is related to mathematical programming. For other uses see complementarity. A complementarity problem is a type of mathematical optimization problem. It is the problem of optimizing (minimizing or maximizing) a function of two vector … Wikipedia
Dynamic programming — For the programming paradigm, see Dynamic programming language. In mathematics and computer science, dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. It is applicable to problems… … Wikipedia
Semidefinite programming — (SDP) is a subfield of convex optimization concerned with the optimization of a linear objective function over the intersection of the cone of positive semidefinite matrices with an affine space.Semidefinite programming is a relatively new field… … Wikipedia
