Learning Automata and Stochastic Optimization (Paperback, 1997 ed.)

In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will be of benefit to practicing control engineers and to graduate students taking courses in optimization, control theory or statistics.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Control and Information Sciences, 225
Release date:	2001
First published:	1997
Authors:	A. S. Poznyak • K. Najim
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	207
Edition:	1997 ed.
ISBN-13:	978-3-540-76154-9
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-540-76154-3
Barcode:	9783540761549

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