scholarly journals Error bounds for linear complementarity problems of weakly chained diagonally dominant B-matrices

Author(s):  
Feng Wang
2021 ◽  
Vol 7 (2) ◽  
pp. 1896-1906
Author(s):  
Deshu Sun ◽  

<abstract><p>Using the range for the infinity norm of inverse matrix of a strictly diagonally dominant $ M $-matrix, some new error bounds for the linear complementarity problem are obtained when the involved matrix is a $ B^S $-matrix. Theory analysis and numerical examples show that these upper bounds are more accurate than some existing results.</p></abstract>


2017 ◽  
Vol 15 (1) ◽  
pp. 978-986 ◽  
Author(s):  
Deshu Sun ◽  
Feng Wang

Abstract Some new error bounds for the linear complementarity problems are obtained when the involved matrices are weakly chained diagonally dominant B-matrices. Numerical examples are given to show the effectiveness of the proposed bounds.


2019 ◽  
Vol 17 (1) ◽  
pp. 1599-1614
Author(s):  
Zhiwu Hou ◽  
Xia Jing ◽  
Lei Gao

Abstract A new error bound for the linear complementarity problem (LCP) of Σ-SDD matrices is given, which depends only on the entries of the involved matrices. Numerical examples are given to show that the new bound is better than that provided by García-Esnaola and Peña [Linear Algebra Appl., 2013, 438, 1339–1446] in some cases. Based on the obtained results, we also give an error bound for the LCP of SB-matrices. It is proved that the new bound is sharper than that provided by Dai et al. [Numer. Algor., 2012, 61, 121–139] under certain assumptions.


2019 ◽  
Vol 83 (1) ◽  
pp. 355-372 ◽  
Author(s):  
Chaoqian Li ◽  
Shaorong Yang ◽  
Hui Huang ◽  
Yaotang Li ◽  
Yimin Wei

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