Bibliographic Information

Integer and combinatorial optimization

George L. Nemhauser, Laurence A. Wolsey

(Wiley-Interscience series in discrete mathematics and optimization)

Wiley, c1988

Available at  / 77 libraries

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"A Wiley-Interscience publication"

Bibliography: p. 721-747

Includes index

Description and Table of Contents

Description

This advanced text/reference presents the mathematical foundations of integer and combinatorial optimization models and the algorithms that can be used to solve a variety of problems in resource allocation, location, distribution, scheduling and production. Chapters on polyhedral theory and model formulation with integer variables are included. Part 1 covers linear programming, graphs and networks and computational complexity. Part 2 covers integer programming, including duality, relaxation and strong cutting planes, and presents algorithms. Part 3 addresses combinatorial optimization, including 0-1 matrices, matching, and submodular function optimization. The book contains many examples and applications.

Table of Contents

  • FOUNDATIONS: The Scope of Integer and Combinatorial Optimization
  • Linear Programming
  • Graphs and Networks
  • Polyhedral Theory
  • Computational Complexity
  • Polynomial-Time Algorithms for Linear Programming
  • Integer Lattices
  • GENERAL INTEGER PROGRAMMING: The Theory of Valid Inequalities
  • Strong Valid Inequalities and Facets for Structured Integer Programs
  • Duality and Relaxation
  • General Algorithms
  • Special Purpose Algorithms
  • Applications of Special Purpose Algorithms
  • COMBINATORIAL OPTIMIZATION: Integral Polyhedra
  • The Matching Problem
  • Matroid and Submodular Function Optimization
  • Notes
  • Exercises.

by "Nielsen BookData"

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