Title :
A Quadratically Convergent Algorithm for Generalized Linear Complementarity Problem on Supply Chain Equilibrium Model
Author_Institution :
Dept. of Math., Linyi Normal Univ., Linyi, China
Abstract :
In this paper, we consider the generalized linear complementarity problem on supply chain equilibrium model(GLCP). To solve the problem, we first establish the global error bound for the GLCP, and then propose a new type of solution method to solve the GLCP based on the error bound estimation. The global and quadratic rate of convergence for algorithm is established. These conclusions can be viewed as extensions of previously known results.
Keywords :
supply chains; GLCP; error bound estimation; generalized linear complementarity problem; global error bound; quadratically convergent algorithm; supply chain equilibrium model; Convergence; Estimation error; Jacobian matrices; Mathematical model; Mathematics; Sun; Supply chains; Symmetric matrices; Ubiquitous computing; Vectors; Generalized Linear complementarity problem; Global error bound; algorithm; quadratical convergence; supply chain equilibrium model;
Conference_Titel :
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3619-4
DOI :
10.1109/IUCE.2009.110
