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Weak Convergence: Constrained Systems

  • Harold J. Kushner
  • Dean S. Clark
Part of the Applied Mathematical Sciences book series (AMS, volume 26)

Abstract

In this chapter, we treat the four basic algorithms of Chapter 5 from the point of view of weak convergence theory, and under weaker conditions on the noise. The basic techniques and notation have already been introduced in Chapters IV and V, and we will often omit details when the lines of reasoning are clear from analogous arguments in those chapters.

Keywords

Weak Convergence Convergent Subsequence Projection Algorithm Polation Interval Piecewise Linear Interpolation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 1978

Authors and Affiliations

  • Harold J. Kushner
    • 1
  • Dean S. Clark
    • 1
  1. 1.Division of Applied MathematicsBrown UniversityProvidenceUSA

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