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Newton’s Method: an Updated Approach of Kantorovich’s Theory / by José Antonio Ezquerro Fernández, Miguel Ángel Hernández Verón
(Frontiers in Mathematics. ISSN:16608054)

1st ed. 2017.
出版者 (Cham : Springer International Publishing : Imprint: Birkhäuser)
出版年 2017
本文言語 英語
大きさ XII, 166 p. 19 illus. in color : online resource
著者標目 *Ezquerro Fernández, José Antonio author
Hernández Verón, Miguel Ángel author
SpringerLink (Online service)
件 名 LCSH:Operator theory
LCSH:Mathematics -- Data processing  全ての件名で検索
LCSH:Integral equations
FREE:Operator Theory
FREE:Computational Mathematics and Numerical Analysis
FREE:Integral Equations
一般注記 The classic theory of Kantorovich -- Convergence conditions on the second derivative of the operator -- Convergence conditions on the k-th derivative of the operator -- Convergence conditions on the first derivative of the operator
This book shows the importance of studying semilocal convergence in iterative methods through Newton's method and addresses the most important aspects of the Kantorovich's theory including implicated studies. Kantorovich's theory for Newton's method used techniques of functional analysis to prove the semilocal convergence of the method by means of the well-known majorant principle. To gain a deeper understanding of these techniques the authors return to the beginning and present a deep-detailed approach of Kantorovich's theory for Newton's method, where they include old results, for a historical perspective and for comparisons with new results, refine old results, and prove their most relevant results, where alternative approaches leading to new sufficient semilocal convergence criteria for Newton's method are given. The book contains many numerical examples involving nonlinear integral equations, two boundary value problems and systems of nonlinear equations related to numerous physical phenomena. The book is addressed to researchers in computational sciences, in general, and in approximation of solutions of nonlinear problems, in particular
HTTP:URL=https://doi.org/10.1007/978-3-319-55976-6
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Springer eBooks 9783319559766
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EB00237902

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データ種別 電子ブック
分 類 LCC:QA329-329.9
DC23:515,724
書誌ID 4000115863
ISBN 9783319559766

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