A Quadratically Convergent Algorithm for Generalized Linear Complementarity Problem on Supply Chain Equilibrium Model

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.