A First Course in Combinatorial Optimization
Jon Lee focuses on key mathematical ideas leading to useful models and algorithms, rather than on data structures and implementation details, in this introductory graduate-level text for students of operations research, mathematics, and computer science. The viewpoint is polyhedral, and Lee also uses matroids as a unifying idea. Topics include linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Problems and exercises are included throughout as well as references for further study.
1117533691
A First Course in Combinatorial Optimization
Jon Lee focuses on key mathematical ideas leading to useful models and algorithms, rather than on data structures and implementation details, in this introductory graduate-level text for students of operations research, mathematics, and computer science. The viewpoint is polyhedral, and Lee also uses matroids as a unifying idea. Topics include linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Problems and exercises are included throughout as well as references for further study.
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A First Course in Combinatorial Optimization

A First Course in Combinatorial Optimization

by Jon Lee
A First Course in Combinatorial Optimization

A First Course in Combinatorial Optimization

by Jon Lee

Hardcover

$105.00 
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Overview

Jon Lee focuses on key mathematical ideas leading to useful models and algorithms, rather than on data structures and implementation details, in this introductory graduate-level text for students of operations research, mathematics, and computer science. The viewpoint is polyhedral, and Lee also uses matroids as a unifying idea. Topics include linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Problems and exercises are included throughout as well as references for further study.

Product Details

ISBN-13: 9780521811514
Publisher: Cambridge University Press
Publication date: 02/09/2004
Series: Cambridge Texts in Applied Mathematics , #36
Pages: 228
Product dimensions: 5.98(w) x 9.02(h) x 0.67(d)
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