Can I read Stochastic Approximation and Its Applications (Nonconvex Optimization and Its Applications (64)) on EtoBox?

Stochastic Approximation and Its Applications (Nonconvex Optimization and Its Applications (64)) by Han-Fu Chen is a nonfiction available to read on EtoBox.

What is Stochastic Approximation and Its Applications (Nonconvex Optimization and Its Applications (64)) about?

This book presents the recent development of stochastic approximation algorithms with expanding truncations based on the TS (trajectory-subsequence) method, a newly developed method for convergence analysis. This approach is so powerful that conditions used for guaranteeing convergence have been considerably weakened in comparison with those applied in the classical probability and ODE methods. The general convergence theorem is presented for sample paths and is proved in a purely deterministic way. The sample-path description of theorems is particularly convenient for applications. Convergence theory takes both observation noise and structural error of the regression function into consideration. Convergence rates, asymptotic normality and other asymptotic properties are presented as well. Applications of the developed theory to global optimization, blind channel identification, adaptive filtering, system parameter identification, adaptive stabilization and other problems arising from engineering fields are demonstrated. Audience: Researchers and students of both graduate and undergraduate levels in systems and control, optimization, signal processing, communicati

Who reads Stochastic Approximation and Its Applications (Nonconvex Optimization and Its Applications (64))?

Author

Han-Fu Chen

Publisher

Springer Nature

Published

2002

Language

EN

ISBN

9781402008061

Category

nonfiction

Subjects

Mathematics, Engineering, Science