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An Exponential Lower Bound on the Length of Some Classes of Branch-and-Cut Proofs

机译:一类分支和裁剪证明的长度的指数下限

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Branch-and-cut methods are among the more successful techniques for solving integer programming problems. They can also be used to prove that all solutions of an integer program satisfy a given linear inequality. We examine the complexity of branch-and-cut proofs in the context of 0-1 integer programs. We prove an exponential lower bound on the length of branch-and-cut proofs in the case where branching is on the variables and the cutting planes used are lift-and-project cuts (also called simple disjunctive cuts by some authors), Gomory-Chvatal cuts, and cuts arising from the N_0 matrix-cut operator of Lovasz and Schrijver. A consequence of the lower-bound result in this paper is that branch-and-cut methods of the type described above have exponential running time in the worst case.
机译:分支和切割方法是解决整数编程问题的更成功的技术。它们还可用于证明整数程序的所有解决方案满足给定的线性不等式。我们在0-1整数程序的上下文中检查分支和裁减证明的复杂性。在分支在变量上的情况下,我们证明了分支和切割证明的长度的指数下限,并且使用的切割面是升力和项目切割(也称为某些作者的简单分离削减),Gomory-雪橇削减,并从Lovasz和Schrijver的N_0 Matrix-Cut操作员产生的剪辑。本文较低的结果的结果是上述类型的分支和切割方法在最坏情况下具有指数运行时间。

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