Geometric Algorithms and Combinatorial Optimization

Grotschel, Martin, Laszlo Lovasz, and Alexander Schrijver

ISBN 10: 038713624X / ISBN 13: 9780387136240

Published by Springer-Verlag, Berlin and New York, 1988

About this Item

An ex-library copy in original yellow hard covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued.

Seller Inventory # 062872

Bibliographic Details

• Title: Geometric Algorithms and Combinatorial Optimization
• Publisher: Springer-Verlag, Berlin and New York
• Publication Date: 1988
• Language: English
• ISBN 10: 038713624X
• ISBN 13: 9780387136240
• Binding: Hardcover
• Edition: First Edition.
• Condition: Good
• Dust Jacket Condition: No Dust Jacket
• Book Type: Book

About this title

Synopsis

This book develops geometric techniques for proving the polynomial time solvability of problems in convexity theory, geometry, and - in particular - combinatorial optimization. It offers a unifying approach based on two fundamental geometric algorithms: - the ellipsoid method for finding a point in a convex set and - the basis reduction method for point lattices. The ellipsoid method was used by Khachiyan to show the polynomial time solvability of linear programming. The basis reduction method yields a polynomial time procedure for certain diophantine approximation problems. A combination of these techniques makes it possible to show the polynomial time solvability of many questions concerning poyhedra - for instance, of linear programming problems having possibly exponentially many inequalities. Utilizing results from polyhedral combinatorics, it provides short proofs of the poynomial time solvability of many combinatiorial optimization problems. For a number of these problems, the geometric algorithms discussed in this book are the only techniques known to derive polynomial time solvability. This book is a continuation and extension of previous research of the authors for which they received the Fulkerson Prize, awarded by the Mathematical Programming Society and the American Mathematical Society.