A multipoint method of minimization of a convex function

被引：0
|
作者：
Nenakhov, ÉI [1 ]
机构：
[1] Natl Acad Sci Ukraine, Cybernet Inst, Kiev, Ukraine
来源：
CYBERNETICS AND SYSTEMS ANALYSIS | 1999年 / 35卷 / 06期
关键词：
minimization; convex function; nonsmoothness; multipoint method; iteration process;
D O I：
10.1007/BF02742290
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of minimization of a convex nonsmooth function in a finite-dimensional space is considered. The method employs the Moreau-Yosida regularization. To accelerate the computation process, the proximate function is constructed using quasi-Newton matrices.
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页码：973 / 975
页数：3
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