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Fenchel Cutting Planes for Integer Programs

Emily Boyd

Open publisher page 90 citations

Abstract

A technique for generating cutting planes for integer programs is introduced that is based on the ability to optimize a linear function on a polyhedron rather than explicit knowledge of the underlying polyhedral structure of the integer program. The theoretical properties of the cuts and their relationship to Lagrangian relaxation are discussed, the cut generation procedure is described, and computational results are presented.

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What this paper is about

A technique for generating cutting planes for integer programs is introduced that is based on the ability to optimize a linear function on a polyhedron rather than explicit knowledge of the underlying polyhedral structure of the integer program. The theoretical properties of the cuts and their relationship to Lagrangian relaxation are discussed, the cut generation procedure is described, and computational results are presented.

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OpenAlex reports 90 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A technique for generating cutting planes for integer programs is introduced that is based on the ability to optimize a linear function on a polyhedron rather than explicit knowledge of the underlying polyhedral structure of the integer program. The theoretical properties of the cuts and their relationship to Lagrangian relaxation are discussed, the cut generation procedure is described, and computational results are presented.

Key concepts: Cutting-plane method, Polyhedron, Integer (computer science), Integer programming, Relaxation (psychology), Linear programming relaxation, Branch and cut, Linear programming

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