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Four Good Reasons to Use an Interior Point Solver Within a MIP Solver

机译:在MIP求解器内使用内点求解器的四种好理由

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1 Introduction: MIP and the Analytic Center Mixed integer programming (MIP) is one of the most important techniques in Operations Research and Discrete Optimization. A mixed integer program is an optimization problem of the form: {formula} with matrix A ∈ R~(m×n),vectors b ∈ R~m and c ∈ R~n, and a subset I ? N :={1,..., n}. The LP relaxation of a MIP is the continuous optimization problem which we get by dropping the integrality requirements of (1). The feasible region of the LP relaxation is a polyhedron. For an introduction to MIP, see [19].
机译:1简介:MIP和分析中心混合整数编程(MIP)是运营研究和离散优化最重要的技术之一。混合整数程序是表单的优化问题:{公式}用矩阵A∈R〜(m×n),向量b∈R〜m和c∈R〜n,以及一个子集i? n:= {1,...,n}。 MIP的LP松弛是我们通过降低(1)的完整性要求来获得的连续优化问题。 LP弛豫的可行区域是多面体。有关MIP的介绍,请参阅[19]。

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