单调算子拆分法的几何原理

IF 16.3 1区 数学 Q1 MATHEMATICS
Patrick L. Combettes
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引用次数: 0

摘要

我们提出了一个几何框架,用于描述和分析解决单调包含问题的各种算子拆分方法。初始包含问题通常涉及通过单调性保留操作组合的多个算子,很少能以其原始形式求解。我们将其嵌入一个辅助空间,在这个辅助空间中,它与一个具有更易处理结构的代理单调包含问题相关联,并允许轻松恢复初始问题的解。代问题通过连续投影到包含其解集的半空间来求解。外部近似半空间是通过分别使用模型中的各个算子来构建的。这一几何框架既包括传统方法,也包括最先进的异步分块迭代算法,其灵活的结构为设计新算法提供了模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The geometry of monotone operator splitting methods

We propose a geometric framework to describe and analyse a wide array of operator splitting methods for solving monotone inclusion problems. The initial inclusion problem, which typically involves several operators combined through monotonicity-preserving operations, is seldom solvable in its original form. We embed it in an auxiliary space, where it is associated with a surrogate monotone inclusion problem with a more tractable structure and which allows for easy recovery of solutions to the initial problem. The surrogate problem is solved by successive projections onto half-spaces containing its solution set. The outer approximation half-spaces are constructed by using the individual operators present in the model separately. This geometric framework is shown to encompass traditional methods as well as state-of-the-art asynchronous block-iterative algorithms, and its flexible structure provides a pattern to design new ones.

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来源期刊
Acta Numerica
Acta Numerica MATHEMATICS-
CiteScore
26.00
自引率
0.70%
发文量
7
期刊介绍: Acta Numerica stands as the preeminent mathematics journal, ranking highest in both Impact Factor and MCQ metrics. This annual journal features a collection of review articles that showcase survey papers authored by prominent researchers in numerical analysis, scientific computing, and computational mathematics. These papers deliver comprehensive overviews of recent advances, offering state-of-the-art techniques and analyses. Encompassing the entirety of numerical analysis, the articles are crafted in an accessible style, catering to researchers at all levels and serving as valuable teaching aids for advanced instruction. The broad subject areas covered include computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis, nonlinear dynamical systems, as well as the application of computational techniques in science and engineering. Acta Numerica also delves into the mathematical theory underpinning numerical methods, making it a versatile and authoritative resource in the field of mathematics.
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