Quasi-Newton Methods for Generalized Equations,

Abstract

Newton's method is a well known and often applied technique for computing a zero of a nonlinear function. Situations arise in which it is undesirable to evaluate, at each iteration, the derivative appearing in the Newton iteration formula. In these cases, a technique of much modern interest is the quasi-Newton method, in which an approximation to the derivative is used in place of the derivative. By using the theory of generalized equations, quasi-Newton methods are developed to solve problems arising in both mathematical programming and mathematical economics. Two results concerning the convergence and convergence rate of quasi-Newton methods for generalized equations. Computational results of quasi-Newton methods applied to a nonlinear complementarity problem of Kojima.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA077097

Entities

People

  • Norman H. Josephy

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programming
  • Computer Science
  • Equations
  • Inequalities
  • Iterations
  • Mathematical Programming
  • Mathematics
  • New York
  • Nonlinear Programming
  • Numerical Analysis
  • Operations Research
  • Optimization
  • United States
  • Universities
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Operations Research