通过交替最小化计算完全正分解

IF 1.8 3区数学 Q1 MATHEMATICS Numerical Linear Algebra with Applications Pub Date : 2023-09-28 DOI:10.1002/nla.2535

R. Behling, H. Lara, H. Oviedo

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引用次数: 0

摘要

摘要在本文中，我们提出了一种新的交替最小化格式来寻找完全正分解。在每次迭代中，我们的方法将原来的分解问题分解为两个优化子问题，第一个问题是一个正交的procrustes问题，它被处理在正交群上，第二个问题是处理在逐入口的正矩阵集合上。我们给出了该方法的收敛性分析和良好的数值结果。

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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Computing the completely positive factorization via alternating minimization

Abstract In this article, we propose a novel alternating minimization scheme for finding completely positive factorizations. In each iteration, our method splits the original factorization problem into two optimization subproblems, the first one being a orthogonal procrustes problem, which is taken over the orthogoal group, and the second one over the set of entrywise positive matrices. We present both a convergence analysis of the method and favorable numerical results.

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来源期刊

Numerical Linear Algebra with Applications 数学-数学

CiteScore

3.40

自引率

2.30%

发文量

审稿时长

12 months

期刊介绍： Manuscripts submitted to Numerical Linear Algebra with Applications should include large-scale broad-interest applications in which challenging computational results are integral to the approach investigated and analysed. Manuscripts that, in the Editor’s view, do not satisfy these conditions will not be accepted for review. Numerical Linear Algebra with Applications receives submissions in areas that address developing, analysing and applying linear algebra algorithms for solving problems arising in multilinear (tensor) algebra, in statistics, such as Markov Chains, as well as in deterministic and stochastic modelling of large-scale networks, algorithm development, performance analysis or related computational aspects. Topics covered include: Standard and Generalized Conjugate Gradients, Multigrid and Other Iterative Methods; Preconditioning Methods; Direct Solution Methods; Numerical Methods for Eigenproblems; Newton-like Methods for Nonlinear Equations; Parallel and Vectorizable Algorithms in Numerical Linear Algebra; Application of Methods of Numerical Linear Algebra in Science, Engineering and Economics.