A Set of Examples of Global and Discrete Optimization

Applications of Bayesian Heuristic Approach

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April 23, 2020 | 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
Springer
Pages
340

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Edition Notes

Source title: A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach

The Physical Object

Format
paperback
Number of pages
340

Edition Identifiers

Open Library
OL27948198M
ISBN 10
1461546729
ISBN 13
9781461546726

Work Identifiers

Work ID
OL4638966W

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amazon.com record

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April 23, 2020 Created by ImportBot Imported from amazon.com record