An introduction to optimization , With applications to machine learning (Record no. 33013)

000 -LEADER
fixed length control field nam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240407b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119877639
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.6
Item number CHO
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chong, Edwin K.P
245 ## - TITLE STATEMENT
Title An introduction to optimization , With applications to machine learning
250 ## - EDITION STATEMENT
Edition statement 5th ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc 2024
Place of publication, distribution, etc New Jersey :
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 651 p. ;
Other physical details ill.,
Dimensions 26 cm
365 ## - TRADE PRICE
Price amount 131.95
Price type code $
Unit of pricing 86.30
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc Optimization is central to any problem involving decision making in many disciplines, such as engineering, mathematics, statistics, economics, and computer science. Now, more than ever, it is increasingly vital to have a firm grasp of the topic due to the rapid progress in computer technology, including the development and availability of user-friendly software, high-speed and parallel processors, and networks. Fully updated to reflect modern developments in the field, An Introduction to Optimization, Third Edition fills the need for an accessible, yet rigorous, introduction to optimization theory and methods." "The book begins with a review of basic definitions and notations and also provides the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. An optimization perspective on global search methods is featured and includes discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm. In addition, the book includes an elementary introduction to artificial neural networks, convex optimization, and multi-objective optimization, all of which are of tremendous interest to students, researchers, and practitioners.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical optimization
Topical term or geographic name as entry element Simplex algorithm
Topical term or geographic name as entry element Steepest descent
Topical term or geographic name as entry element Secant method
Topical term or geographic name as entry element Quadratic function
Topical term or geographic name as entry element Optimization problem
Topical term or geographic name as entry element Objective function
Topical term or geographic name as entry element Newton's method
Topical term or geographic name as entry element Linear programming
Topical term or geographic name as entry element Genetic algorithm
Topical term or geographic name as entry element Convex function
Topical term or geographic name as entry element Chromosomes
Topical term or geographic name as entry element Basic feasible solution
Topical term or geographic name as entry element Augmented matrix
Topical term or geographic name as entry element Algorithms
Topical term or geographic name as entry element Linear Programming
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zak, Stanislaw H
Personal name Lu, Sheng Wu
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2024-04-04 11387.29 519.6 CHO 034967 2024-04-07 Books

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