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M. W. Zhang and C. C. Huang, “A Primal-Dual Infeasible Interior Point Algorithm for Convex Quadratic Programming Problem with Box Constraints,” Journal of Engineering Mathematics, Vol. 18, No. 2, 2001, pp. 85-90.

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.