Theory of linear and integer programming
Theory of linear and integer programming
Mathematical Programming: Series A and B
On the use of cuts in reverse convex programs
Journal of Optimization Theory and Applications
Methods for solving multi-extremal problems (global search)
Annals of Operations Research
Normal conical algorithm for concave minimization over polytopes
Mathematical Programming: Series A and B
Computational aspects on the use of cutting planes in global optimization
ACM '71 Proceedings of the 1971 26th annual conference
Finitely convergent cutting planes for concave minimization
Journal of Global Optimization
Cone Adaptation Strategies for a Finite and Exact Cutting Plane Algorithm for Concave Minimization
Journal of Global Optimization
Journal of Global Optimization
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A new type of cutting plane, termed a decomposition cut, is introduced that can be constructed under the same assumptions as the well-known convexity cut. Therefore it can be applied in algorithms (e.g. cutting plane, branch-and-cut) for various problems of global optimization, such as concave minimization, bilinear programming, reverse-convex programming, and integer programming. In computational tests with cutting plane algorithms for concave minimization, decomposition cuts were shown to be superior to convexity cuts.