“…for more details, see [1][2][3]. Here, the linear complementarity problem (LCP) is to nd a vector x ∈ R n such that inverse matrix from (2), several easily computable bounds for LCPs were derived for the di erent subclass of P-matrices, such as positively diagonal Nekrasov matrices [6,7], S-Nekrasov matrices [8,9], QN-matrices [10,11], S-QN-matrices [12], B-matrices [13][14][15], DB-matrices [16], SB-matrices [17,18], MB-matrices [2], B-Nekrasov matrices [7,19,20], B R π -matrices [21,22], Dashnic-Zusmanovich type matrices [23], and weakly chained diagonally dominant B-matrices [24][25][26]. In [27], García-Esnaola and Peña present an error bound for the LCP(M, q) involved with Σ-SDD matrices, this bound involves a parameter and works only for Σ-SDD matrices but not strictly diagonally dominant matrices.…”