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R. P. Wang, “Fixed Iterative Method for Solving the Inequality Constrained Quadratic Programming Problem,” Journal of Beijing Institute of Petro-Chemical Technology, Vol. 15, No. 1, 2007, pp. 1-4.

has been cited by the following article:

• TITLE: Fixed-Point Iteration Method for Solving the Convex Quadratic Programming with Mixed Constraints

  AUTHORS: Ruopeng Wang, Hong Shi, Kai Ruan, Xiangyu Gao

  KEYWORDS: Fixed-Point Iteration; Convex Quadratic Programming Problem; Convergence; Smoothing Function

  JOURNAL NAME: Applied Mathematics, Vol.5 No.2, January 20, 2014

  ABSTRACT: The present paper is devoted to a novel smoothing function method for convex quadratic programming problem with mixed constrains, which has important application in mechanics and engineering science. The problem is reformulated as a system of non-smooth equations, and then a smoothing function for the system of non-smooth equations is proposed. The condition of convergences of this iteration algorithm is given. Theory analysis and primary numerical results illustrate that this method is feasible and effective.