↓ Skip to main content
What is this page? Embed badge

Stochastic Approximation and Recursive Algorithms and Applications

Overview of attention for book
Cover of 'Stochastic Approximation and Recursive Algorithms and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction: Applications and Issues
  3. Altmetric Badge
    Chapter 2 Applications to Learning, Repeated Games, State Dependent Noise, and Queue Optimization
  4. Altmetric Badge
    Chapter 3 Applications in Signal Processing, Communications, and Adaptive Control
  5. Altmetric Badge
    Chapter 4 Mathematical Background
  6. Altmetric Badge
    Chapter 5 Convergence with Probability One: Martingale Difference Noise
  7. Altmetric Badge
    Chapter 6 Convergence with Probability One: Correlated Noise
  8. Altmetric Badge
    Chapter 7 Weak Convergence: Introduction
  9. Altmetric Badge
    Chapter 8 Weak Convergence Methods for General Algorithms
  10. Altmetric Badge
    Chapter 9 Applications: Proofs of Convergence
  11. Altmetric Badge
    Chapter 10 Rate of Convergence
  12. Altmetric Badge
    Chapter 11 Averaging of the Iterates
  13. Altmetric Badge
    Chapter 12 Distributed/Decentralized and Asynchronous Algorithms
Attention for Chapter 11: Averaging of the Iterates
Altmetric Badge

Citations

dimensions_citation
391 Dimensions

Readers on

mendeley
8 Mendeley
Summary Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Averaging of the Iterates
Chapter number 11
Book title
Stochastic Approximation and Recursive Algorithms and Applications
Published by
Springer, New York, NY, January 2003
DOI 10.1007/0-387-21769-x_11
Book ISBNs
978-0-387-00894-3, 978-0-387-21769-7
View on publisher site

This page is provided by Altmetric.