USING COPOSITIVITY FOR GLOBAL OPTIMALITY CRITERIA IN CONCAVE QUADRATIC-PROGRAMMING PROBLEMS

被引:19
|
作者
DANNINGER, G
BOMZE, IM
机构
[1] Department of Statistics and Computer Science, University of Vienna, Wien, A-1010
关键词
NONCONVEX NONLINEAR PROGRAMMING; GLOBAL OPTIMIZATION; 2ND-ORDER OPTIMALITY CONDITIONS; COPOSITIVE MATRICES; QUADRATIC PROGRAMMING; CONVEX MAXIMIZATION PROBLEM;
D O I
10.1007/BF01585185
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this note we specify a necessary and sufficient condition for global optimality in concave quadratic minimization problems. Using this condition, it follows that, from the perspective of worst-case complexity of concave quadratic problems, the difference between local and global optimality conditions is not as large as in general. As an essential ingredient, we here use the epsilon-subdifferential calculus via an approach of Hiriart-Urruty and Lemarechal (1990).
引用
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页码:575 / 580
页数:6
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