Mathematical Programming: Series A and B
A short proof of finiteness of Murty's principal pivoting algorithm
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
The efficient solution of linear complementarity problems for tridiagonal Minkowski matrices
ACM Transactions on Mathematical Software (TOMS)
On the Accurate Identification of Active Constraints
SIAM Journal on Optimization
A New Active Set Algorithm for Box Constrained Optimization
SIAM Journal on Optimization
Two class of synchronous matrix multisplitting schemes for solving linear complementarity problems
Journal of Computational and Applied Mathematics
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In this paper, we present a conjugate gradient method for solving the linear complementarity problem that involves an S-matrix. At each step, we solve a lower-dimensional system of linear equations by conjugate gradient method. The method terminates at the exact solution of the problem after a finite number of iterations. Moreover, the computational complexity of the proposed method is no more than the computational complexity of a conjugate gradient method for solving a system of linear equations. Preliminary numerical experiments show that the method is efficient.