Abstract
We develop a method for generating valid convex quadratic inequalities for mixed0–1 convex programs. We also show how these inequalities can be generated in the linear case by defining cut generation problems using a projection cone. The basic results for quadratic inequalities are extended to generate convex polynomial inequalities.
Original language | English |
---|---|
Pages (from-to) | 311-332 |
Journal | Journal of Global Optimization |
Volume | 24 |
DOIs | |
State | Published - 2002 |