Abstract: In this paper, we consider the generalized linear complementarity problem (GLCP). Firstly, we develop some equivalent reformulations of the problem under milder conditions, and then characterize the solution of the GLCP. Secondly, we also establish the global error estimation for the GLCP by weakening the assumption. These results obtained in this paper can be taken as an extension for the classical linear complementarity problems.

Tingfa Yan, “The Solution Structure and Error Estimation for The Generalized Linear Complementarity Problem” International Journal of Advanced Computer Science and Applications(IJACSA), 5(6), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050622

@article{Yan2014,
title = {The Solution Structure and Error Estimation for The Generalized Linear Complementarity Problem},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.050622},
url = {http://dx.doi.org/10.14569/IJACSA.2014.050622},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {6},
author = {Tingfa Yan}
}