A quadratically convergent algorithm for inverse singular value problems with multiple singular values

IF 1.5 Q2 MATHEMATICS, APPLIED
Results in Applied Mathematics Pub Date : 2026-02-01 Epub Date: 2026-03-04 DOI:10.1016/j.rinam.2026.100694
Wei Ma, Yuqing Zhu
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引用次数: 0

Abstract

In 2021, for inverse singular value problems, a quadratically convergent algorithm (Wei and Chen, 2021) based on matrix multiplication (Ogita and Aishima, 2020) was designed for inverse singular value problems. Although this method has some good features compared to other quadratic convergence methods, it is not suitable for multiple singular values. In this paper, we propose a modified algorithm adapted to an arbitrary set of given singular values. Moreover, under some mild assumptions, we prove its quadratic convergence in the root sense. Numerical experiments show that the effectiveness and practicality of the proposed method.
多奇异值反奇异值问题的二次收敛算法
2021年,针对奇异值反问题,设计了基于矩阵乘法的二次收敛算法(Wei and Chen, 2021) (Ogita and Aishima, 2020)。虽然与其他二次收敛方法相比,该方法具有一些较好的特点,但并不适用于多个奇异值。本文提出了一种改进的算法,适用于给定奇异值的任意集合。此外,在一些温和的假设下,我们证明了它在根意义上的二次收敛性。数值实验表明了该方法的有效性和实用性。
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
Results in Applied Mathematics
Results in Applied Mathematics Mathematics-Applied Mathematics
CiteScore
3.20
自引率
10.00%
发文量
50
审稿时长
23 days
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