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- W1978548225 abstract "Minimization of a nonconvex objective function subject to linear inequality constraints can involve many local minima. Cutting plane methods for solving such problems have been proposed in the literature. This paper reports computational experience indicating that cutting methods do poorly on problems with dimension as low as ten. A geometric analysis of the conditions involved in cutting a polyhedron shows that:" @default.
- W1978548225 created "2016-06-24" @default.
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- W1978548225 date "1971-01-01" @default.
- W1978548225 modified "2023-10-05" @default.
- W1978548225 title "Computational aspects on the use of cutting planes in global optimization" @default.
- W1978548225 cites W2045803189 @default.
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- W1978548225 doi "https://doi.org/10.1145/800184.810515" @default.
- W1978548225 hasPublicationYear "1971" @default.
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