An Algorithm Research for Supply Chain Management Optimization Model
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 5
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.
Authors and Affiliations
Ruomeng Kong, Chengjiang Yin
Keywords
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- EP ID EP157714
- DOI 10.14569/IJACSA.2014.050522
- Views 74
- Downloads 0
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