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A finiteness proof for modified dantzig cuts in integer programming
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Citations
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References
1970
Year
Mathematical ProgrammingEngineeringComputational ComplexityBranch And CutBasic SolutionDiscrete OptimizationOperations ResearchGomory-chvátal TheoryDiscrete MathematicsCombinatorial OptimizationDantzig CutsInteger OptimizationSimplex MethodComputer ScienceProblem ReductionLinear ConstraintInteger ProgrammingMixed Integer OptimizationPacking ProblemsFiniteness ProofAlgorithmic EfficiencyLinear Programming
Let be a basic solution to the linear programming problem subject to: where R is the index set associated with the nonbasic variables. If all of the variables are constrained to be nonnegative integers and xu is not an integer in the basic solution, the linear constraint is implied. We prove that including these “cuts” in a specified way yields a finite dual simplex algorithm for the pure integer programming problem. The relation of these modified Dantzig cuts to Gomory cuts is discussed.
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