Iterative methods in combinatorial optimization - Info and Reading Options
By Lap Chi Lau

"Iterative methods in combinatorial optimization" was published by Cambridge University Press in 2011 - Cambridge, it has 242 pages and the language of the book is English.
“Iterative methods in combinatorial optimization” Metadata:
- Title: ➤ Iterative methods in combinatorial optimization
- Author: Lap Chi Lau
- Language: English
- Number of Pages: 242
- Publisher: Cambridge University Press
- Publish Date: 2011
- Publish Location: Cambridge
“Iterative methods in combinatorial optimization” Subjects and Themes:
- Subjects: ➤ Combinatorial optimization - Iterative methods (Mathematics) - Iterative methods (mathematics)
Edition Specifications:
- Pagination: xi, 242 p. :
Edition Identifiers:
- The Open Library ID: OL24885092M - OL15980011W
- Online Computer Library Center (OCLC) ID: 694393831
- Library of Congress Control Number (LCCN): 2011003653
- ISBN-13: 9781107007512 - 9780521189439
- ISBN-10: 1107007518 - 0521189438
- All ISBNs: 1107007518 - 0521189438 - 9781107007512 - 9780521189439
AI-generated Review of “Iterative methods in combinatorial optimization”:
"Iterative methods in combinatorial optimization" Description:
The Open Library:
"With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization such as the primal-dual method have proven their staying power and versatility. This book describes a simple and powerful method that is iterative in essence, and similarly useful in a variety of settings for exact and approximate optimization. The authors highlight the commonality and uses of this method to prove a variety of classical polyhedral results on matchings, trees, matroids, and flows. The presentation style is elementary enough to be accessible to anyone with exposure to basic linear algebra and graph theory, making the book suitable for introductory courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate their potential for future application in research in approximation algorithms"-- "With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization such as the primal-dual method have proven their staying power and versatility. This book describes a simple and powerful method that is iterative in essence and similarly useful in a variety of settings for exact and approximate optimization. The authors highlight the commonality and uses of this method to prove a variety of classical polyhedral results on matchings, trees, matroids, and flows. The presentation style is elementary enough to be accessible to anyone with exposure to basic linear algebra and graph theory, making the book suitable for introductory courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate their potential for future application in research in approximation algorithms"--
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