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A Set of Examples of Global and Discrete Optimization - Applications of Bayesian Heuristic Approach (Paperback, Softcover reprint of the original 1st ed. 2000) Loot Price: R4,241
Discovery Miles 42 410
A Set of Examples of Global and Discrete Optimization - Applications of Bayesian Heuristic Approach (Paperback, Softcover...

A Set of Examples of Global and Discrete Optimization - Applications of Bayesian Heuristic Approach (Paperback, Softcover reprint of the original 1st ed. 2000)

Jonas Mockus

Series: Applied Optimization, 41

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Loot Price R4,241 Discovery Miles 42 410 | Repayment Terms: R397 pm x 12*

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This book shows how the Bayesian Approach (BA) improves well known heuristics by randomizing and optimizing their parameters. That is the Bayesian Heuristic Approach (BHA). The ten in-depth examples are designed to teach Operations Research using Internet. Each example is a simple representation of some impor tant family of real-life problems. The accompanying software can be run by remote Internet users. The supporting web-sites include software for Java, C++, and other lan guages. A theoretical setting is described in which one can discuss a Bayesian adaptive choice of heuristics for discrete and global optimization prob lems. The techniques are evaluated in the spirit of the average rather than the worst case analysis. In this context, "heuristics" are understood to be an expert opinion defining how to solve a family of problems of dis crete or global optimization. The term "Bayesian Heuristic Approach" means that one defines a set of heuristics and fixes some prior distribu tion on the results obtained. By applying BHA one is looking for the heuristic that reduces the average deviation from the global optimum. The theoretical discussions serve as an introduction to examples that are the main part of the book. All the examples are interconnected. Dif ferent examples illustrate different points of the general subject. How ever, one can consider each example separately, too."

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Applied Optimization, 41
Release date: November 2013
First published: 2000
Authors: Jonas Mockus
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Paperback
Pages: 322
Edition: Softcover reprint of the original 1st ed. 2000
ISBN-13: 978-1-4613-7114-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Combinatorics & graph theory
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Optimization > General
LSN: 1-4613-7114-7
Barcode: 9781461371144

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