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

• 作者: Hong Shi Kai Ruan Ruopeng Wang Xiangyu Gao
• 来源期刊: 应用数学(英文)
• 学科: 数学
• 关键词: FIXED-POINT ITERATION CONVEX QUADRATIC Programming Problem Convergence SMOOTHING Function
• 年，卷（期）: 2014,（2）
• 页码范围: 256-262
• 页数: 7页
• 分类号: O1

摘要

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.