Arbel | Exploring Interior-Point Linear Programming: Algorithms and Software | Buch | 978-0-262-51073-8 | sack.de

Buch, Englisch, 235 Seiten, Format (B × H): 180 mm x 230 mm, Gewicht: 481 g

Reihe: Foundations of Computing

Arbel

Exploring Interior-Point Linear Programming: Algorithms and Software


Neuausgabe 1993
ISBN: 978-0-262-51073-8
Verlag: Penguin Random House LLC

Buch, Englisch, 235 Seiten, Format (B × H): 180 mm x 230 mm, Gewicht: 481 g

Reihe: Foundations of Computing

ISBN: 978-0-262-51073-8
Verlag: Penguin Random House LLC


Linear programming is widely used in industry to solve complex planning and resource
allocation problems. This book provides practitioners as well as students of this general
methodology with an easily accessible introduction to the new class of algorithms known as
interior-point methods for linear programming. In addition to presenting the theoretical and
algorithmic background necessary for dealing with specific interior-point linear programming
algorithms, it offers a review of modeling linear programming problems, a review of the simplex
algorithm that has been used to solve linear programming problems in the past, and a complete user's
guide to the software that is included with the book.The interior-point technique is proving
especially powerful for the solution of large-scale linear programming problems, with better
performance bounds than the simplex algorithm. For example, the U.S. Military airlift command has
solved their scheduling problem using interior-point algorithms much faster and with a longer
planning horizon than was possible with the simplex algorithms, and Delta expects to save millions
of dollars by using interior-point methods to schedule their air crews and planes.The software
package is designed for use on IBM-PC microcomputers (and compatibles), a platform that provides an
ideal environment for students of linear programming interested in exploring and studying these new
algorithms.Contents: Preparations. Introduction. Modeling Linear Optimization Problems. The Simplex
Algorithm. A First Look at an Interior Point Algorithm. Algorithms. The Primal Algorithm. The Dual
Algorithm. The Primal-Dual Algorithm. Implementation Issues. Solutions. The Integrated Environment.
Command Line Operations. Appendixes.

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Arbel, Ami
Ami Arbel is Professor in the Department of Industrial Engineering at Tel Aviv
University.

Ami Arbel is Professor in the Department of Industrial Engineering at Tel Aviv University.



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