A Simplicial Algorithm for the Mixed Nonlinear Complementarity Problem with Application to Convex Programming.

Abstract

Given a continuous mapping f(x) from (R sup N) to (R sup n) the authors consider a problem in which some components of f(x) are required to satisfy a complementarity condition and the other components are required to be zero. This problem includes the nonlinear complementarity problem, the problem of finding a zero of a system of nonlinear equations, and the problem of finding a Kuhn-Tucker point of a nonlinear program with both equality and inequality constraints. A simplicial approximation algorithm for this problem is given and finite termination conditions are established. These conditions provide previously unknown existence results. Application of the algorithm to convex programming is described and computational experience presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1974
Accession Number
AD0787829

Entities

People

  • F. J. Gould
  • J. W. Tolle
  • M. L. Fisher

Organizations

  • University of Chicago

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Convex Programming
  • Cooperation
  • Equations
  • Evolutionary Algorithms
  • Heuristic Methods
  • Inequalities
  • Mathematics
  • North Carolina

Fields of Study

  • Mathematics

Readers

  • Operations Research