用于求解广义绝对值方程的高效牛顿型矩阵分割算法及其在脊回归问题中的应用

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-10-22 DOI:10.1016/j.cam.2024.116329

Xuehua Li, Cairong Chen

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引用次数: 0

摘要

本文提出了一种求解广义绝对值方程（GAVE）的基于牛顿的广义矩阵分割（GNMS）方法。在温和条件下，GNMS 方法能收敛到广义绝对值方程的唯一解。此外，我们还可以得到一些现有方法的较弱收敛条件。数值结果验证了所提方法的有效性。

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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An efficient Newton-type matrix splitting algorithm for solving generalized absolute value equations with application to ridge regression problems

A generalized Newton-based matrix splitting (GNMS) method is proposed for solving the generalized absolute value equations (GAVEs). Under mild conditions, the GNMS method converges to the unique solution of GAVEs. Moreover, we can obtain a few weaker convergence conditions for some existing methods. Numerical results verify the effectiveness of the proposed method.

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464