Error bounds for linear complementarity problems of $ SD{{D}_{1}} $ matrices and $ SD{{D}_{1}} $-$ B $ matrices

Autor: Yingxia Zhao, Lanlan Liu, Feng Wang
Rok vydání: 2022
Předmět:
Zdroj: AIMS Mathematics. 7:11862-11878
ISSN: 2473-6988
Popis: An upper bound of the infinity norm for the inverse of $ SD{D_1} $ matrix is presented. We apply the new bound to linear complementarity problems (LCPs) and obtain an alternative error bound for LCPs of $ SD{D_1} $ matrices and $ SD{{D}_{1}} $-$ B $ matrices. In addition, a new lower bound for the smallest singular value is also given. Numerical examples show the validity of the results.
Databáze: OpenAIRE