Combinatorial optimization

Combinatorial optimization: algorithms and complexity

by Papadimitriou, Christos H.

Type Book
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A text for a range of graduate courses, with some of the material suitable for students of computer science with a background in the theory of algorithms and some suitable for those with a background in operations research. Corrected and unabridged from the 1982 publication by Prentice-Hall, with a new preface. Annotation copyrighted by Book News, Inc., Portland, OR.

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Title Statements

  • Full title :Combinatorial optimization : algorithms and complexity / Christos H. Papadimitriou, Kenneth Steiglitz.

Summary

A text for a range of graduate courses, with some of the material suitable for students of computer science with a background in the theory of algorithms and some suitable for those with a background in operations research. Corrected and unabridged from the 1982 publication by Prentice-Hall, with a new preface. Annotation copyrighted by Book News, Inc., Portland, OR.

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Edition Statements

  • Publication Date:1998.

Publication Statements

  • Publisher(s):Dover Publications
  • Place of Publication:Mineola, N.Y
  • Language:eng
  • Publication Date:1998.

Notes

Originally published: Englewood Cliffs, N.J. : Prentice Hall, ©1982. With new pref.

The Physical Object

  • Description:xvi, 496 pages : : illustrations ; : 22 cm

Edition Identifiers

  • ISBN:0486402584, 9780486402581
  • oclc:ocm38989881
  • LC Classification:QA402.5
  • Dewey Decimal:519.3

Table of Contents

Optimization problems -- Simplex algorithm -- Duality -- Computational considerations for the simplex algorithm -- Primal-dual algorithm -- Primal-dual algorithms for max-flow and shortest path: ford-fulkerson and dijkstra -- Primal-dual algorithms for min-cost flow -- Algorithms and complexity -- Efficient algorithms for the max-flow problem -- Algorithms for matching -- Weighted matching -- Spanning trees and matroids -- Integer linear programming -- A cutting-plane algorithm for integer linear programs -- NP-complete problems -- More about NP-completeness -- Approximation algorithms -- Branch-and-bound and dynamic programming -- Local search.

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