The Study of Coordinate-Wise Decomposition Descent Method for Optimization Problems

Salahuddin
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引用次数: 0

Abstract

The aim of this paper is to consider a general non-stationary optimization problem whose objective function need not be smooth in general and only approximation sequences are known instead of exact values of the functions. We apply a two-step technique where approximate solutions of a sequence of a generalized mixed variational inequality problem (GMVIP) are inserted in the iterative method of a selective coordinate-wise decomposition descent method. Its convergence is achieved under coercivity-type assumptions.
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优化问题的坐标分解后裔法研究
本文旨在考虑一个一般非平稳优化问题,该问题的目标函数在一般情况下不一定是平稳的,而且只知道近似序列,而不知道函数的精确值。我们采用了一种两步技术,即在选择性坐标分解下降法的迭代法中插入广义混合变分不等式问题(GMVIP)序列的近似解。其收敛性是在矫顽力型假设条件下实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.30
自引率
10.00%
发文量
60
审稿时长
12 weeks
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