Zeroing Dynamics, Gradient Dynamics, and Newton Iterations (Record no. 7985)

MARC details
000 -LEADER
fixed length control field 02251 a2200361 4500
001 - CONTROL NUMBER
control field 1498753795
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317111645.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042018xx 294 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781498753791
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 150.00
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code PB
Source thema
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Subject category code TJFM
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Subject category code THY
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072 7# - SUBJECT CATEGORY CODE
Subject category code PB
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code TJFM
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code THRB
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code TEC007000
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072 7# - SUBJECT CATEGORY CODE
Subject category code COM032000
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072 7# - SUBJECT CATEGORY CODE
Subject category code COM037000
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072 7# - SUBJECT CATEGORY CODE
Subject category code MAT003000
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072 7# - SUBJECT CATEGORY CODE
Subject category code 515.42
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yunong Zhang
245 10 - TITLE STATEMENT
Title Zeroing Dynamics, Gradient Dynamics, and Newton Iterations
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 20181009
300 ## - PHYSICAL DESCRIPTION
Extent 340 p
520 ## - SUMMARY, ETC.
Expansion of summary note Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gradient neural networks that only deal with static problems of constant coefficient matrices and vectors, the authors’ new method called zeroing dynamics solves time-varying problems. Zeroing Dynamics, Gradient Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The book brings together research in the developing fields of neural networks, neural dynamics, computer mathematics, numerical algorithms, time-varying computation and optimization, simulation and modeling, analog and digital hardware, and fractals. The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. Readers will discover how novel theoretical results have been successfully applied to many practical problems. The authors develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lin Xiao
Relationship A01
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhengli Xiao
Relationship A01
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mingzhi Mao
Relationship A01

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