Research article

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

  • Received: 10 December 2021 Revised: 25 March 2022 Accepted: 06 April 2022 Published: 20 April 2022
  • MSC : 15A48, 65G50, 90C31, 90C33

  • 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.

    Citation: Yingxia Zhao, Lanlan Liu, Feng Wang. Error bounds for linear complementarity problems of $ SD{{D}_{1}} $ matrices and $ SD{{D}_{1}} $-$ B $ matrices[J]. AIMS Mathematics, 2022, 7(7): 11862-11878. doi: 10.3934/math.2022662

    Related Papers:

  • 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.



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