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An Algorithm Research for Supply Chain Management Optimization Model
Digital Object Identifier (DOI) : 10.14569/IJACSA.2014.050522
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 5, 2014.
Abstract: In this paper, we consider the extended linear complementarity problem on supply chain management optimization model. We first give a global error bound for the extended linear complementarity problem, and then propose a new type of algorithm based on the error bound estimation. Both the global and quadratic rate of convergence are established. These conclusions can be viewed as extensions of previously known results.
Keywords: supply chain management optimization model; the extended linear complementarity problem; error bound; algorithm; quadratical convergence
Ruomeng Kong and Chengjiang Yin, “An Algorithm Research for Supply Chain Management Optimization Model” International Journal of Advanced Computer Science and Applications(IJACSA), 5(5), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050522
@article{Kong2014,
title = {An Algorithm Research for Supply Chain Management Optimization Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.050522},
url = {http://dx.doi.org/10.14569/IJACSA.2014.050522},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {5},
author = {Ruomeng Kong and Chengjiang Yin}
}
