退化可变度量近点算法和原始-双重道格拉斯-拉赫福德的自适应步长

IF 1.6 3区数学 Q2 MATHEMATICS, APPLIED

Optimization Pub Date : 2024-03-06 DOI:10.1080/02331934.2024.2325552

Dirk A. Lorenz, Jannis Marquardt, Emanuele Naldi

引用次数: 0

摘要

在本文中，退化预处理近点算法将与变化预处理思想相结合，从而产生退化可变度量近点算法。T...

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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The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal–dual Douglas–Rachford

In this paper, the degenerate preconditioned proximal point algorithm will be combined with the idea of varying preconditioners leading to the degenerate variable metric proximal point algorithm. T...

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来源期刊

Optimization 数学-应用数学

CiteScore

4.50

自引率

9.10%

发文量

146

审稿时长

4.5 months

期刊介绍： Optimization publishes refereed, theoretical and applied papers on the latest developments in fields such as linear, nonlinear, stochastic, parametric, discrete and dynamic programming, control theory and game theory. A special section is devoted to review papers on theory and methods in interesting areas of mathematical programming and optimization techniques. The journal also publishes conference proceedings, book reviews and announcements. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.