Convergence of Relaxation Algorithms by Averaging.

Abstract

Adaptive relaxation algorithms use anti-jamming schemes that require either a large amount fo computation or a large amount of memory. This paper presents a non-adaptive approach that possesses substantial computational and memory advantages over the adaptive schemes. The approach uses averaging and may be applies whenever the relaxation algorithm's point-to-set maps satisfy appropriate assumptions.

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Document Details

Document Type
Technical Report
Publication Date
Mar 16, 1987
Accession Number
ADA178784

Entities

People

  • Gerard G. Meyer

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Computer Science
  • Computers
  • Convergence
  • Electrical Engineering
  • Engineering
  • Hypotheses
  • Intervals
  • Iterations
  • Sequences

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Operations Research