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More on positive subdefinite matrices and the linear complementarity problem

机译:关于正定矩阵和线性互补问题的更多信息

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In this article, we consider positive subdefinite matrices (PSBD) recently studied by J-P. Crouzeix et al. [SIAM J. Matrix Anal. Appl. 22 (2000) 66] and show that linear complementarity problems with PSBD matrices of rank greater than or equal to 2 are processable by Lemke's algorithm and that a PSBD matrix of rank greater than or equal to 2 belongs to the class of sufficient matrices introduced by R.W. Cottle et al. [Linear Algebra Appl. 114/115 (1989) 231]. We also show that if a matrix A is a sum of a merely positive subdefinite copositive plus matrix and a copositive matrix, and a feasibility condition is satisfied, then Lemke's algorithm solves LCP(q, A). This supplements the results of Jones and Evers. (C) 2001 Elsevier Science Inc. All rights reserved. [References: 11]
机译:在本文中,我们考虑了J-P最近研究的正亚定矩阵(PSBD)。 Crouzeix等。 [SIAM J.矩阵肛门。应用22(2000)66],并证明可以通过Lemke算法处理秩大于或等于2的PSBD矩阵的线性互补问题,并且秩大于或等于2的PSBD矩阵属于由B引入的足够矩阵的类别。 RW Cottle等。 [线性代数应用114/115(1989)231]。我们还表明,如果矩阵A是仅正定亚正定正加矩阵和正定矩阵的和,并且满足了可行性条件,则Lemke算法求解LCP(q,A)。这补充了琼斯和埃弗斯的结果。 (C)2001 Elsevier Science Inc.保留所有权利。 [参考:11]

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