A New Error Bound for Linear Complementarity Problems for Weakly Chained Diagonally Dominant B-Matrices
霞 井 · Advances in Applied Mathematics · 2017
本文利用弱链对角占优M-矩阵逆矩阵无穷范数上界的估计式，结合不等式放缩技术，给出弱链对角占优B-矩阵线性互补问题误差界的一个新估计式。数值算例表明，新估计式改进了现有的几个结果。 In this paper, by the infinity norm bound of inverse matrix of weakly chained diagonally dominant M-matrices, we give a new error bound for the linear complementarity problem when the matrix involved is a weakly chained diagonally dominant B-matrix, which improves some existing ones. Numerical examples are given to show the corresponding results.