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Linear programming. / 2, Theory and extensions

Autor: George B Dantzig; Mukund Narain Thapa
Editora: New York : Springer, ©2003.
Séries: Springer series in operations research.
Edição/Formato   e-book : Documento : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
Linear programming represents one of the major applications of mathematics to business, industry, and economics. It provides a methodology for optimizing an output given that is a linear function of a number of inputs. George Dantzig is widely regarded as the founder of the subject with his invention of the simplex algorithm in the 1940's. This second volume is intended to add to the theory of the items discussed in  Ler mais...
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Detalhes

Gênero/Forma: Electronic books
Tipo de Material: Documento, Recurso Internet
Tipo de Documento: Recurso Internet, Arquivo de Computador
Todos os Autores / Contribuintes: George B Dantzig; Mukund Narain Thapa
ISBN: 0387215697 9780387215693 1280188812 9781280188817
Número OCLC: 56138101
Descrição: 1 online resource.
Conteúdos: Geometry of Linear Inequality Systems and the Simplex Method --
Duality and Theorems of the Alternatives --
Early Interior-Point Methods --
Interior-Point Methods --
Degeneracy --
Variants of the Simplex Method --
Transportation Problem and Variations --
Network Flow Theory --
Generalized Upper Bounds --
Decomposition of Large-Scale Systems --
Stochastic Programming: Introduction --
Two-Stage Stochastic Programs --
Appendix: Probability Theory: Overview.
Título da Série: Springer series in operations research.
Outros Títulos: Theory and extensions
Responsabilidade: George B. Dantzig, Mukund N. Thapa.

Resumo:

Linear programming represents one of the major applications of mathematics to business, industry, and economics. It provides a methodology for optimizing an output given that is a linear function of a number of inputs. George Dantzig is widely regarded as the founder of the subject with his invention of the simplex algorithm in the 1940's. This second volume is intended to add to the theory of the items discussed in the first volume. It also includes additional advanced topics such as variants of the simplex method; interior point methods (early and current methods), GUB, decomposition, integer programming, and game theory. Graduate students in the fields of operations research, industrial engineering and applied mathematics will find this volume of particular interest.

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