{"title":"求解大规模绝对值方程 Ax - |x| = b 的非精确牛顿式方法","authors":"Jingyong Tang","doi":"10.21136/AM.2023.0171-22","DOIUrl":null,"url":null,"abstract":"<div><p>Newton-type methods have been successfully applied to solve the absolute value equation <i>Ax</i> − |<i>x</i>| = <i>b</i> (denoted by AVE). This class of methods usually solves a system of linear equations exactly in each iteration. However, for large-scale AVEs, solving the corresponding system exactly may be expensive. In this paper, we propose an inexact Newton-type method for solving the AVE. In each iteration, the proposed method solves the corresponding system only approximately. Moreover, it adopts a new line search technique, which is well-defined and easy to implement. We prove that the proposed method has global and local superlinear convergence under the condition that the interval matrix [<i>A</i> − <i>I</i>, <i>A</i> + <i>I</i>] is regular. This condition is much weaker than those used in some Newton-type methods. Numerical results show that our method has fairly good practical efficiency for solving large-scale AVEs.</p></div>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inexact Newton-type method for solving large-scale absolute value equation Ax − |x| = b\",\"authors\":\"Jingyong Tang\",\"doi\":\"10.21136/AM.2023.0171-22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Newton-type methods have been successfully applied to solve the absolute value equation <i>Ax</i> − |<i>x</i>| = <i>b</i> (denoted by AVE). This class of methods usually solves a system of linear equations exactly in each iteration. However, for large-scale AVEs, solving the corresponding system exactly may be expensive. In this paper, we propose an inexact Newton-type method for solving the AVE. In each iteration, the proposed method solves the corresponding system only approximately. Moreover, it adopts a new line search technique, which is well-defined and easy to implement. We prove that the proposed method has global and local superlinear convergence under the condition that the interval matrix [<i>A</i> − <i>I</i>, <i>A</i> + <i>I</i>] is regular. This condition is much weaker than those used in some Newton-type methods. Numerical results show that our method has fairly good practical efficiency for solving large-scale AVEs.</p></div>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2023-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://link.springer.com/article/10.21136/AM.2023.0171-22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.21136/AM.2023.0171-22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
牛顿型方法已成功应用于求解绝对值方程 Ax - |x| = b(用 AVE 表示)。这类方法通常在每次迭代中精确求解线性方程组。然而,对于大规模的 AVE,精确求解相应的系统可能代价高昂。本文提出了一种求解 AVE 的非精确牛顿型方法。在每次迭代中,所提出的方法只能近似地求解相应的系统。此外,它采用了一种新的线搜索技术,定义明确且易于实现。我们证明,在区间矩阵 [A - I, A + I] 规则的条件下,所提出的方法具有全局和局部超线性收敛性。这一条件比某些牛顿型方法所使用的条件要弱得多。数值结果表明,我们的方法在求解大规模 AVE 时具有相当好的实用效率。
Inexact Newton-type method for solving large-scale absolute value equation Ax − |x| = b
Newton-type methods have been successfully applied to solve the absolute value equation Ax − |x| = b (denoted by AVE). This class of methods usually solves a system of linear equations exactly in each iteration. However, for large-scale AVEs, solving the corresponding system exactly may be expensive. In this paper, we propose an inexact Newton-type method for solving the AVE. In each iteration, the proposed method solves the corresponding system only approximately. Moreover, it adopts a new line search technique, which is well-defined and easy to implement. We prove that the proposed method has global and local superlinear convergence under the condition that the interval matrix [A − I, A + I] is regular. This condition is much weaker than those used in some Newton-type methods. Numerical results show that our method has fairly good practical efficiency for solving large-scale AVEs.