NitroFlare Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Discussion in 'E-Books & Tutorials' started by kocogi, Dec 26, 2015.

  1. kocogi

    kocogi Active Member

    May 29, 2012
    Likes Received:
    Trophy Points:

    Zeroing Dynamics, Gradient Dynamics, and Newton Iterations by Yunong Zhang, Lin Xiao, Zhengli Xiao, Mingzhi Mao
    2015 | ISBN: 1498753760 | English | 340 pages | PDF | 10 MB

    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.

    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.
    Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
    Download ( NitroFlare )

Share This Page