Conic approximation to quadratic optimization with linear complementarity constraints
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 66(1), 97–122.
author keywords: Cone of nonnegative quadratic functions; Conic approximation; Linear complementarity constraints
TL;DR:
A conic approximation algorithm for solving quadratic optimization problems with linear complementarity constraints by adaptively refining the outer approximation of the feasible set to identify an optimal solution or an ϵ\documentclass[12pt]{minimal}
(via
Semantic Scholar)