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Simulated Annealing and Boltzmann Machines
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Condition:
Like New
A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Item specifics
- Condition
- ISBN
- 9780471921462
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471921467
ISBN-13
9780471921462
eBay Product ID (ePID)
1093643
Product Key Features
Number of Pages
288 Pages
Language
English
Publication Name
Simulated Annealing and Boltzmann Machines : A Stochastic Approach to Combinatorial Optimization and Neural Computing
Subject
Machine Theory, Discrete Mathematics
Publication Year
1991
Type
Textbook
Subject Area
Mathematics, Computers
Series
Wiley Series in Discrete Mathematics and Optimization Ser.
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
20 Oz
Item Length
9.5 in
Item Width
6.2 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
88-020871
Dewey Edition
19
Series Volume Number
21
Illustrated
Yes
Dewey Decimal
519
Table Of Content
SIMULATED ANNEALING. Combinatorial Optimization. Simulated Annealing. Asymptotic Convergence. Finite-Time Approximation. Simulated Annealing in Practice. Parallel Simulated Annealing Algorithms. BOLTZMANN MACHINES. Neural Computing. Boltzmann Machines. Combinatorial Optimization and Boltzmann Machines. Classification and Boltzmann Machines. Learning and Boltzmann Machines. Appendix. Bibliography. Indices.
Synopsis
Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of finite structures. It is one of the fastest growing areas in mathematics today. The level and depth of recent advances in the area and the wide applicability of its evolving techniques point to the rapidity with which the field is moving from its beginnings to maturity and presage the ever-increasing interaction between it and computer science. The Series provides a broad coverage of discrete mathematics and optimization, ranging over such fields as combinatorics, graph theory, enumeration, mathematical programming and the analysis of algorithms, and including such topics as Ramsey theory, transversal theory, block designs, finite geometries, Polya theory, graph and matroid algorithms, network flows, polyhedral combinatorics and computational complexity. The Wiley - Interscience Series in Discrete Mathematics and Optimization will be a substantial part of the record of this extraordinary development. Recent titles in the Series: Search Problems Rudolf Ahlswede, University of Bielefeld, Federal Republic of Germany Ingo Wegener, Johann Wolfgang Goethe University, Frankfurt, Federal Republic of Germany The problems of search, exploration, discovery and identification are of key importance in a wide variety of applications. This book will be of great interest to all those concerned with searching, sorting, information processing, design of experiments and optimal allocation of resources. 1987 Introduction to Optimization E. M. L. Beale FRS, Scicon Ltd, Milton Keynes, and Imperial College, London This book is intended as an introduction to the many topics covered by the term 'optimization', with special emphasis on applications in industry. It is divided into three parts. The first part covers unconstrained optimization, the second describes the methods used to solve linear programming problems, and the third covers nonlinear programming, integer programming and dynamic programming. The book is intended for senior undergraduate and graduate students studying optimization as part of a course in mathematics, computer science or engineering. 1988, Annealing is the physical process of heating up a solid until it melts, followed by careful cooling until it cristalyzes in a state corresponding to a perfect lattice. In combinatorial optimization a similar process can be defined and the resulting method is called simulated annealing. A substantial reduction of the computational effort required by the simulated annealing algorithm may be achieved by using computational models that are based on massively parallel execution. An example of such a model is the Boltzmann machine. A Boltzmann machine is thought to consist of a large network of simple computing elements, called units, that are connected in some way., Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of finite structures. It is one of the fastest growing areas in mathematics today.
LC Classification Number
QA402.5.A22 1989
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