Kamal Jain, Ion Mandoiu, Vijay V. Vazirani, David P. Williamson, A primal-dual schema based approximation algorithm for the element connectivity problem. This book presents the theory of ap proximation algorithms as it stands today. Approximation Algorithms. Front Cover · Vijay V. Vazirani. Springer Science. Approximation Algorithms has 45 ratings and 2 reviews. Nick said: Amazon I was sparked to finally order this by Alan Fay adding it with five.
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Home Contact Us Help Free delivery worldwide. Description Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field.
Approximation Algorithms – Vijay V. Vazirani – Google Books
He gives clear, lucid explanations of key results and ideas, with approximatkon proofs, and provides critical examples and numerous illustrations to help elucidate the algorithms. Many of the results presented have been simplified and new insights provided. Of interest to theoretical computer scientists, operations researchers, and discrete mathematicians.
The Best Books of Check out the top books of the year on our page Best Books of Product details Format Hardback pages Dimensions x x Looking for beautiful books? Visit our Beautiful Books page and find lovely books for kids, photography lovers and more. Back cover copy This book covers the dominant theoretical approaches to the approximate solution of hard combinatorial optimization and enumeration problems.
It contains elegant combinatorial theory, useful and interesting algorithms, and deep results about the intrinsic complexity of combinatorial problems. Its clarity of exposition and excellent selection of exercises will make it accessible and appealing to all those with a taste for mathematics and algorithms. Richard Karp, University Professor, University of California at Berkeley Following the development of basic combinatorial optimization techniques in the s and s, a main open approximarion was to develop a theory of approximation algorithms.
In the s, parallel developments in techniques for designing approximation algorithms as well as methods for proving hardness of approximation results have led to a beautiful theory.
The need to solve truly large instances of computationally hard problems, such as those arising from the Internet or the human genome project, has also increased interest in this theory. The field is currently very active, with the toolbox of approximation algorithm design techniques getting always richer.
It is a pleasure to recommend Vijay Vazirani’s well-written and comprehensive book on this important and timely topic. I am sure the reader will find it most useful both as bijay introduction to approximability as well as a reference to the many aspects of approximation algorithms.
Table of contents 1 Introduction. Review Text From the reviews: The book under review is a very good help for understanding these results. In each of the 27 chapters an important combinatorial optimization problem is presented and one or more approximation algorithms for it alogrithms clearly and concisely described and analyzed.
In this way most of the most important results from the approximation algorithm literature are covered, often more easily comprehensible than the original articles.
It is possibly the first textbook to provide an extensive and systematic coverage of this topic. The book starts briskly, using simple examples to illustrate some of the key concepts and draw the reader rapidly in.
Copious exercises are included to test and deepen the reader’s understanding. It deserves a place in every computer science and mathematical library. Jerrum, Mathematical Reviews, h “The book of Vijay Vazirani is not the first one dedicated to approximation algorithms However it is, I believe, among the very best from a didactical point of view: I suspect that for many researchers it would be the first one to consult It presents the most important problems, the basic methods and ideas which are used in this area.
The book can be used for vaziranl graduate course on approximation algorithms.
The chapters also contain a section of exercises, which can help the students to understand the material in a deeper way. On the other hand the book can be used by the researchers of the field Review quote From the reviews: Book ratings by Goodreads.
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