Simple Bounds for Solutions of Monotone Complementarity Problems and Convex Programs.

Abstract

For a solvable monotone complementarity problem it is shown that each feasible point which is not a solution of the problem provides simple numerical bounds for some or all components of all solution vectors. Consequently for a solvable differentiable convex program each primal-dual feasible point which is not optimal provides simple numerical bounds for some or all components of all primal-dual solution vectors. Also given is existence result and simple bounds for solutions of monotone complementarity problems satisfying a new, distributed constraint qualification. This result carries over to a simple existence and boundedness result for differentiable convex programs satisfying a new, distributed constraint qualification. This result carries over to a simple existence and boundedness result for differentiable convex programs satisfying a similar constraint qualification. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1984
Accession Number
ADA141699

Entities

People

  • L. Mclinden
  • Olvi L. Mangasarian

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Banach Space
  • Continents
  • Geographic Regions
  • Geometry
  • Inequalities
  • Linear Programming
  • Mathematical Analysis
  • Mathematics
  • Military Research
  • Monotone Functions
  • North America
  • North Carolina
  • Optimization
  • Qualifications
  • Theorems
  • United States
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Graph Algorithms and Convex Optimization.
  • Mathematical Modeling and Probability Theory.