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Research Article | Open Access |

The Solution Structure and Error Estimation for The Generalized Linear Complementarity Problem

Author 1: Tingfa Yan
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 5, No. 6 · Published 2014

DOI: 10.14569/IJACSA.2014.050622

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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.

Keywords

GLCP solution structure error estimation

How to Cite this Article

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

Yan, Tingfa. "The Solution Structure and Error Estimation for The Generalized Linear Complementarity Problem." International Journal of Advanced Computer Science and Applications, vol. 5, no. 6, 2014, https://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},
  volume    = {5},
  number    = {6},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Tingfa Yan},
  doi       = {10.14569/IJACSA.2014.050622},
  url       = {https://doi.org/10.14569/IJACSA.2014.050622}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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Volume 17 No. 11, November 2026
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