Further Developments in the Global Resolution of Convex Programs with Complementarity Constraints

Abstract

The main objective of this research is investigation of designing effective algorithms for computing globally optimal solutions to convex programs with complementarity constraints (CPCCs) and some special subclasses. These are nonconvex optimization problems with convex objective functions and constraints, together with complementarity restrictions on certain pairs of the variables.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 23, 2016
Source ID
FA95501510126

Entities

People

  • Jong-shi Pang

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Southern California

Tags

Readers

  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms