2017
DOI: 10.1080/03081087.2017.1389847
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New error bound for linear complementarity problems for B-matrices

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Cited by 7 publications
(1 citation statement)
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“…When k = 1, M 0 = I, q 0 = 0, the EVLCP(M, q) comes back to linear complementarity problems (LCP), and when M 0 = I, q 0 = 0, the EVLCP(M, q) reduces to vertical linear complementarity problems (VLCP) [2]. The extended vertical linear complementarity problems are widely used in optimization theory, control theory, neural network model, convergence analysis, sensitive analysis, verification of the solutions, and so on, see [1,[3][4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…When k = 1, M 0 = I, q 0 = 0, the EVLCP(M, q) comes back to linear complementarity problems (LCP), and when M 0 = I, q 0 = 0, the EVLCP(M, q) reduces to vertical linear complementarity problems (VLCP) [2]. The extended vertical linear complementarity problems are widely used in optimization theory, control theory, neural network model, convergence analysis, sensitive analysis, verification of the solutions, and so on, see [1,[3][4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%