000			02251 a2200361 4500
001			1498753787
005			20250317111645.0
008			250312042018xx 294 eng
020			_a9781498753784
037			_bTaylor & Francis _cGBP 150.00 _fBB
040			_a01
041			_aeng
072	7		_aPB _2thema
072	7		_aTJFM _2thema
072	7		_aTHY _2thema
072	7		_aPB _2bic
072	7		_aTJFM _2bic
072	7		_aTHRB _2bic
072	7		_aTEC007000 _2bisac
072	7		_aCOM032000 _2bisac
072	7		_aCOM037000 _2bisac
072	7		_aMAT003000 _2bisac
072	7		_a515.42 _2bisac
100	1		_aYunong Zhang
245	1	0	_aZeroing Dynamics, Gradient Dynamics, and Newton Iterations
250			_a1
260			_bCRC Press _c20181009
300			_a340 p
520			_bNeural 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		_aLin Xiao _4A01
700	1		_aZhengli Xiao _4A01
700	1		_aMingzhi Mao _4A01
999			_c7986 _d7986