Large scale linear and integer optimization : a unified approach /

Saved in:
Bibliographic Details
Author / Creator:Martin, Richard Kipp.
Imprint:Boston : Kluwer Academic, c1999.
Description:xvii, 740 p. : ill. ; 25 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/3693325
Hidden Bibliographic Details
ISBN:0792382021 (acid-free paper)
Notes:Includes bibliographical references (p. [687]-722) and indexes.
Table of Contents:
  • Pt. I. Motivation. 1. Linear and Integer Linear Optimization
  • Pt. II. Theory. 2. Linear Systems and Projection. 3. Linear Systems and Inverse Projection. 4. Integer Linear Systems: Projection and Inverse Projection
  • Pt. III. Algorithms. 5. The Simplex Algorithm. 6. More on Simplex. 7. Interior Point Algorithms: Polyhedral Transformations. 8. Interior Point Algorithms: Barrier Methods. 9. Integer Programming
  • Pt. IV. Solving Large Scale Problems: Decomposition Methods. 10. Projection: Benders' Decomposition. 11. Inverse Projection: Dantzig-Wolfe Decomposition. 12. Lagrangian Methods
  • Pt. V. Solving Large Scale Problems: Using Special Structure. 13. Sparse Methods. 14. Network Flow Linear Programs. 15. Large Integer Programs: Preprocessing and Cutting Planes. 16. Large Integer Programs: Projection and Inverse Projection
  • Pt. VI. Appendix
  • A. Polyhedral Theory
  • B. Complexity Theory
  • C. Basic Graph Theory
  • D. Software and Test Problems
  • E. Notation.