A hierarchy of relaxation between the continuous and convex hull representations
SIAM Journal on Discrete Mathematics
A lift-and-project cutting plane algorithm for mixed 0-1 programs
Mathematical Programming: Series A and B
Discrete Applied Mathematics
SIAM Review
Mixed 0-1 programming by lift-and-project in a branch-and-cut framework
Management Science
Matrix computations (3rd ed.)
Approximate graph coloring by semidefinite programming
Journal of the ACM (JACM)
Semidefinite Programming Relaxation for NonconvexQuadratic Programs
Journal of Global Optimization
Performance-constrained template-driven retargeting for analog and RF layouts
Proceedings of the 20th symposium on Great lakes symposium on VLSI
Integration, the VLSI Journal
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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.