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Linear Programming Computation / by Ping-Qi PAN.

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2014 English International Available online

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Format:
Book
Author/Creator:
PAN, Ping-Qi., Author.
Language:
English
Subjects (All):
Algebras, Linear.
Mathematics.
Economics.
Linear Algebra.
Local Subjects:
Linear Algebra.
Mathematics.
Economics.
Physical Description:
1 online resource (749 p.)
Edition:
1st ed. 2014.
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Language Note:
English
Summary:
With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to conventional topics, such as the simplex method, duality, and interior-point methods, all deduced in a fresh and clear manner, it introduces the state of the art by highlighting brand-new and advanced results, including efficient pivot rules, Phase-I approaches, reduced simplex methods, deficient-basis methods, face methods, and pivotal interior-point methods. In particular, it covers the determination of the optimal solution set, feasible-point simplex method, decomposition principle for solving large-scale problems, controlled-branch method based on generalized reduced simplex framework for solving integer LP problems.
Contents:
Introduction
Geometry of the Feasible Region
Simplex Method
Duality principle and dual simplex method
Implementation of the Simplex Method
Sensitivity Analysis and Parametric LP
Variants of the Simplex Method
Decomposition Method
Interior Point Method
Integer Linear Programming (ILP)
Pivot Rule
Dual Pivot Rule
Simplex Phase-I Method
Dual Simplex Phase-l Method
Reduced Simplex Method
Improved Reduced Simplex Method
D-Reduced Simplex Method
Criss-Cross Simplex Method
Generalizing Reduced Simplex Method
Deficient-Basis Method
Dual Deficient-Basis Method
Face Method
Dual Face Method
Pivotal interior-point Method
Special Topics
Appendix
References.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references.
ISBN:
3-642-40754-4
OCLC:
875475632

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