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.

引用

页码：973 / 975

页数：3

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