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A polynomial path-following interior point algorithm for general linear complementarity problems

机译:一般线性互补问题的多项式路径跟踪内点算法

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Linear Complementarity Problems (LCPs) belong to the class of NP-complete problems. Therefore we cannot expect a polynomial time solution method for LCPs without requiring some special property of the coefficient matrix. Our aim is to construct interior point algorithms which, according to the duality theorem in EP (Existentially Polynomial-time) form, in polynomial time either give a solution of the original problem or detects the lack of property P_*(κ), with arbitrary large, but apriori fixed κ). In the latter case, the algorithms give a polynomial size certificate depending on parameter κ, the initial interior point and the input size of the LCP). We give the general idea of an EP-modification of interior point algorithms and adapt this modification to long-step path-following interior point algorithms.
机译:线性互补问题(LCP)属于NP完全问题。因此,在不要求系数矩阵具有某些特殊性质的情况下,我们不能期望针对LCP的多项式时间求解方法。我们的目标是构建内点算法,根据EP(存在多项式时间)形式的对偶定理,在多项式时间内给出原始问题的解决方案或检测属性P _ *(κ)的缺乏,任意大但先验固定的κ)。在后一种情况下,算法会根据参数κ,LCP的初始内部点和输入大小给出多项式大小证明。我们给出了内部点算法的EP修改的一般思想,并将此修改应用于长距离路径跟踪内部点算法。

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