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Approximation Algorithms and Semidefinite Programming (Record no. 23809)

000 -LEADER
fixed length control field 03880nam a22005055i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151457.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120109s2012 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642220159
978-3-642-22015-9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T57-57.97
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2012.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gärtner, Bernd.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Approximation Algorithms and Semidefinite Programming
Medium [electronic resource] /
Statement of responsibility, etc by Bernd Gärtner, Jiri Matousek.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 252 p.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I (by Bernd Gärtner): 1 Introduction: MAXCUT via Semidefinite Programming -- 2 Semidefinite Programming -- 3 Shannon Capacity and Lovász Theta.-  4 Duality and Cone Programming.-  5 Approximately Solving Semidefinite Programs -- 6 An Interior-Point Algorithm for Semidefinite Programming -- 7 Compositive Programming.-  Part II (by Jiri Matousek): 8 Lower Bounds for the Goemans–Williamson MAXCUT Algorithm -- 9 Coloring 3-Chromatic Graphs -- 10 Maximizing a Quadratic Form on a Graph -- 11 Colorings With Low Discrepancy -- 12 Constraint Satisfaction Problems, and Relaxing Them Semidefinitely -- 13 Rounding Via Miniatures -- Summary -- References -- Index.
520 ## - SUMMARY, ETC.
Summary, etc Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. It covers the basics but also a significant amount of recent and more advanced material.   There are many computational problems, such as MAXCUT, for which one cannot reasonably expect to obtain an exact solution efficiently, and in such case, one has to settle for approximate solutions. For MAXCUT and its relatives, exciting recent results suggest that semidefinite programming is probably the ultimate tool. Indeed, assuming the Unique Games Conjecture, a plausible but as yet unproven hypothesis, it was shown that for these problems, known algorithms based on semidefinite programming deliver the best possible approximation ratios among all polynomial-time algorithms.   This book follows the “semidefinite side” of these developments, presenting some of the main ideas behind approximation algorithms based on semidefinite programming. It develops the basic theory of semidefinite programming, presents one of the known efficient algorithms in detail, and describes the principles of some others. It also includes applications, focusing on approximation algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Information theory.
Topical term or geographic name as entry element Computer software.
Topical term or geographic name as entry element Computational complexity.
Topical term or geographic name as entry element Algorithms.
Topical term or geographic name as entry element Mathematical optimization.
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Applications of Mathematics.
Topical term or geographic name as entry element Theory of Computation.
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
Topical term or geographic name as entry element Discrete Mathematics in Computer Science.
Topical term or geographic name as entry element Algorithms.
Topical term or geographic name as entry element Optimization.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Matousek, Jiri.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642220142
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-22015-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-10AUM Main Library2014-04-10 2014-04-10 E-Book   AUM Main Library519

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