๐”– Scriptorium
โœฆ   LIBER   โœฆ
๐Ÿ“

Bayesian Approach to Global Optimization: Theory and Applications

โœ Scribed by Jonas Mockus (auth.)

Publisher
Springer Netherlands
Year
1989
Tongue
English
Leaves
266
Series
Mathematics and Its Applications 37
Edition
1
Category
Library
โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis

`Bayesian Approach to Global Optimization is an excellent reference book in the field. As a text it is probably most appropriate in a mathematics or computer science department or at an advanced graduate level in engineering departments ...'
A. Belegundu, Applied Mechanics Review, Vol. 43, no. 4, April 1990

โœฆ Table of Contents

Front Matter....Pages i-xiv
Global Optimization and the Bayesian Approach....Pages 1-3
The Conditions of Bayesian Optimality....Pages 4-21
The Axiomatic Non-Probabilistic Justification of Bayesian Optimality Conditions....Pages 22-38
Stochastic Models....Pages 39-78
Bayesian Methods for Global Optimization in the Gaussian Case....Pages 79-116
The Analysis of Structure and the Simplification of the Optimization Problems....Pages 117-124
The Bayesian Approach to Local Optimization....Pages 125-156
The Application Of Bayesian Methods....Pages 157-196
Portable Fortran Software for Global Optimization....Pages 197-236
Back Matter....Pages 237-246

โœฆ Subjects

Numeric Computing; Operations Research, Management Science; Theory of Computation

๐Ÿ“œ SIMILAR VOLUMES

Bayesian Heuristic Approach to Discrete
๐Ÿ“ Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications
โœ Jonas Mockus, William Eddy, Audris Mockus, Linas Mockus, Gintaras Reklaitis (aut ๐Ÿ“‚ Library ๐Ÿ“… 1997 ๐Ÿ› Springer US ๐ŸŒ English

<p>Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems,

A Set of Examples of Global and Discrete
๐Ÿ“ A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach
โœ Jonas Mockus (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2000 ๐Ÿ› Springer US ๐ŸŒ English

<p>This book shows how the Bayesian Approach (BA) improves wellยญ 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

Global Optimization: From Theory to Impl
๐Ÿ“ Global Optimization: From Theory to Implementation (Nonconvex Optimization and Its Applications)
โœ Leo Liberti, Nelson Maculan ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Springer ๐ŸŒ English

Most global optimization literature focuses on theory. This book, however, contains descriptions of new implementations of general-purpose or problem-specific global optimization algorithms. It discusses existing software packages from which the entire community can learn. The contributors are exper