A NEW COMPUTATIONAL ALGORITHM FOR FUNCTIONAL INEQUALITY CONSTRAINED OPTIMIZATION PROBLEMS

被引:103
作者
TEO, KL
REHBOCK, V
JENNINGS, LS
机构
[1] Department of Mathematics, University of Western Australia, Nedlands
关键词
FUNCTION APPROXIMATION; ITERATIVE METHODS; NONLINEAR PROGRAMMING; NUMERICAL METHODS; OPTIMIZATION; SMOOTHING; PENALTY FUNCTION;
D O I
10.1016/0005-1098(93)90076-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
In this note, a computational algorithm is devised for solving a class of functional inequality constrained optimization problems, based on a penalty function. For illustration, a numerical example is solved.
引用
收藏
页码:789 / 792
页数:4
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