不等式约束二次规划问题的全局最优性充分条件
Global optimality sufficient conditions for quadratic programming problem with inequality constraints

本文考虑带有不等式约束二次规划问题.通过拉格朗日函数、？？L ？Т挝⒎趾酮？L ？д？则锥相结合的方法给出了带有不等式约束二次规划问题的全局最优性充分条件. 本文的一些结果与已有文献中的一些结论是一致的，而在一定的条件下则推广了已有文献中的一些结论. 最后通过实例说明了本文给出的全局最优性充分条件的可行性、有效性和优越性.
In this paper, we consider the quadratic programming problem with inequality constrained. Some global optimality sufficient conditions are presented by combining the Lagrangian function, ？？L ？？subdifferential and ？？L ？？regular cones method for this problem. The results of this paper extend some corresponding results on global optimality conditions in references in present information. Numerical examples show that the global optimal sufficient condition can effectively determine the optimal solution for the non convex quadratic optimization proble