Local and Superlinear Convergence of a Class of Variable Metric Methods.

Abstract

This paper considers a class of variable metric methods for unconstrained minimization problems. It is shown that with a step size of one each member of this class converges locally and superlinearly.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1979
Accession Number
ADA070208

Entities

People

  • Klaus Ritter

Organizations

  • University of Wisconsin–Madison

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DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Programming
  • Contracts
  • Convergence
  • Evolutionary Algorithms
  • Inequalities
  • Iterations
  • Mathematical Analysis
  • Mathematical Programming
  • Mathematics
  • Military Research
  • North Carolina
  • Operations Research
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  • United States
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Operations Research