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Integrated Methods for Optimization (Record no. 25402)

000 -LEADER
fixed length control field 04587nam a22004815i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310152706.0
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 111111s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461419006
978-1-4614-1900-6
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.23
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.40301
Edition number 23
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2012.
912 ## -
-- ZDB-2-SBE
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hooker, John N.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Integrated Methods for Optimization
Medium [electronic resource] /
Statement of responsibility, etc by John N. Hooker.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 642 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title International Series in Operations Research & Management Science,
International Standard Serial Number 0884-8289 ;
Volume number/sequential designation 170
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Examples -- Optimization Basics -- Duality -- Search -- Inference -- Relaxation -- Dictionary of Constraints.
520 ## - SUMMARY, ETC.
Summary, etc The first edition of Integrated Methods for Optimization was published in January 2007. Because the book covers a rapidly developing field, the time is right for a second edition. The book provides a unified treatment of optimization methods. It brings ideas from mathematical programming (MP), constraint programming (CP), and global optimization (GO)into a single volume. There is no reason these must be learned as separate fields, as they normally are, and there are three reasons they should be studied together. (1) There is much in common among them intellectually, and to a large degree they can be understood as special cases of a single underlying solution technology. (2) A growing literature reports how they can be profitably integrated to formulate and solve a wide range of problems. (3) Several software packages now incorporate techniques from two or more of these fields. The book provides a unique resource for graduate students and practitioners who want a well-rounded background in optimization methods within a single course of study. Engineering students are a particularly large potential audience, because engineering optimization problems often benefit from a combined approach—particularly where design, scheduling, or logistics are involved. The text is also of value to those studying operations research, because their educational programs rarely cover CP, and to those studying computer science and artificial intelligence (AI), because their curricula typically omit MP and GO. The text is also useful for practitioners in any of these areas who want to learn about another, because it provides a more concise and accessible treatment than other texts. The book can cover so wide a range of material because it focuses on ideas that arerelevant to the methods used in general-purpose optimization and constraint solvers. The book focuses on ideas behind the methods that have proved useful in general-purpose optimization and constraint solvers, as well as integrated solvers of the present and foreseeable future.  The second edition updates results in this area and includes several major new topics: Background material in linear, nonlinear, and dynamic programming. Network flow theory, due to its importance in filtering algorithms. A chapter on generalized duality theory that more explicitly develops a unifying primal-dual algorithmic structure for optimization methods. An extensive survey of search methods from both MP and AI, using the primal-dual framework as an organizing principle. Coverage of several additional global constraints used in CP solvers. The book continues to focus on exact as opposed to heuristic methods. It is possible to bring heuristic methods into the unifying scheme described in the book, and the new edition will retain the brief discussion of how this might be done.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics.
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Electronic data processing.
Topical term or geographic name as entry element Mathematical optimization.
Topical term or geographic name as entry element Economics/Management Science.
Topical term or geographic name as entry element Operations Research/Decision Theory.
Topical term or geographic name as entry element Optimization.
Topical term or geographic name as entry element Computing Methodologies.
Topical term or geographic name as entry element Mathematics of Computing.
Topical term or geographic name as entry element Mathematical Modeling and Industrial Mathematics.
Topical term or geographic name as entry element Business/Management Science, general.
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 9781461418993
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-1900-6
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 Library658.40301
Languages: 
English |
العربية