A set of examples of global and discrete optimization

applications of Bayesian Heuristic Approach

A set of examples of global and discrete opti ...
Jonas Mockus, Jonas Mockus
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Last edited by MARC Bot
September 30, 2024 | History

A set of examples of global and discrete optimization

applications of Bayesian Heuristic Approach

This book shows how to improve well-known heuristics by randomizing and optimizing their parameters. The ten in-depth examples are designed to teach operations research and the theory of games and markets using the Internet. Each example is a simple representation of some important family of real-life problems. Remote Internet users can run the accompanying software. The supporting web sites include software for Java, C++, and other languages. Audience: Researchers and specialists in operations research, systems engineering and optimization methods, as well as Internet applications experts in the fields of economics, industrial and applied mathematics, computer science, engineering, and environmental sciences.

Publish Date
Publisher
Kluwer Academic
Language
English
Pages
321

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Book Details


Edition Notes

Includes bibliographical references (p. 307-315) and index.

Published in
Dordrecht, Boston
Series
Applied optimization -- vol. 41

Classifications

Dewey Decimal Class
519.3
Library of Congress
QA402.5 .M585 2000, QA1-939

The Physical Object

Pagination
xiii, 321 p. :
Number of pages
321

Edition Identifiers

Open Library
OL22323768M
ISBN 10
0792363590
LCCN
00030652
OCLC/WorldCat
43945231
Goodreads
5663345

Work Identifiers

Work ID
OL4638966W

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History

Download catalog record: RDF / JSON
September 30, 2024 Edited by MARC Bot import existing book
December 25, 2021 Edited by ImportBot import existing book
December 4, 2010 Edited by Open Library Bot Added subjects from MARC records.
December 10, 2009 Created by WorkBot add works page