{"title":"Approximating Solutions of Equations Using Two-Point Newton Methods","authors":"Ioannis K. Argyros","doi":"10.1002/anac.200410006","DOIUrl":null,"url":null,"abstract":"<p>We provide a local as well as a semilocal convergence analysis for two-point Newton methods under very general conditions. Our equation contains a Fréchet differentiable operator <i>F</i> and another operator <i>G</i> whose differentiability is not assumed. Using more precise majorizing sequences than before we provide sufficient convergence conditions for Newton methods to a locally unique solution of equation <i>F</i> (<i>x</i>) + <i>G</i>(<i>x</i>) = 0. In the semilocal case we show under weaker conditions that our error estimates on the distances involved are finer and the information on the location of the solution at least as precise as in earlier results [17]. In the local case a larger radius of convergence is obtained [21]. Several applications are provided to show that our results compare favorably with earlier ones [11]–[14], [17], [21], [23], [25]. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)</p>","PeriodicalId":100108,"journal":{"name":"Applied Numerical Analysis & Computational Mathematics","volume":"1 2","pages":"386-412"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/anac.200410006","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Numerical Analysis & Computational Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/anac.200410006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We provide a local as well as a semilocal convergence analysis for two-point Newton methods under very general conditions. Our equation contains a Fréchet differentiable operator F and another operator G whose differentiability is not assumed. Using more precise majorizing sequences than before we provide sufficient convergence conditions for Newton methods to a locally unique solution of equation F (x) + G(x) = 0. In the semilocal case we show under weaker conditions that our error estimates on the distances involved are finer and the information on the location of the solution at least as precise as in earlier results [17]. In the local case a larger radius of convergence is obtained [21]. Several applications are provided to show that our results compare favorably with earlier ones [11]–[14], [17], [21], [23], [25]. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
用两点牛顿法逼近方程的解
我们给出了两点牛顿法在非常一般条件下的局部和半局部收敛性分析。我们的方程包含一个fr可微算子F和另一个不假设其可微的算子G。利用比以前更精确的多数化序列,我们为方程F (x) + G(x) = 0的局部唯一解提供了牛顿方法的充分收敛条件。在半局部情况下,我们表明在较弱的条件下,我们对所涉及的距离的误差估计更精细,并且关于解的位置的信息至少与先前的结果[17]一样精确。在局部情况下,得到更大的收敛半径[21]。几个应用表明,我们的结果与早期的[11]-[14],[17],[21],[23],[25]比较有利。(©2004 WILEY-VCH Verlag GmbH &KGaA公司,Weinheim)
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