Subsampled cubic regularization method for finite-sum minimization

IF 1.6 3区 数学 Q2 MATHEMATICS, APPLIED Optimization Pub Date : 2024-02-16 DOI:10.1080/02331934.2024.2318258
Max L. N. Gonçalves
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Abstract

This paper proposes and analyses a subsampled Cubic Regularization Method (CRM) for solving finite-sum optimization problems. The new method uses random subsampling techniques to approximate the fu...
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有限和最小化的子样立方正则化方法
本文提出并分析了一种用于求解有限和优化问题的子采样立方正则化方法(CRM)。新方法使用随机子采样技术来近似地计算有限和优化问题的...
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来源期刊
Optimization
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.
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