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Advances in Iterative Methods for Nonlinear Equations

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Cover of 'Advances in Iterative Methods for Nonlinear Equations'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 An Overview on Steffensen-Type Methods
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    Chapter 3 Newton’s Method for Convex Optimization
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    Chapter 4 Inexact Newton Methods on Riemannian Manifolds
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    Chapter 5 On the Design of Optimal Iterative Methods for Solving Nonlinear Equations
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    Chapter 6 The Theory of Kantorovich for Newton’s Method: Conditions on the Second Derivative
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    Chapter 7 Complexity of an Homotopy Method at the Neighbourhood of a Zero
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    Chapter 8 A Qualitative Analysis of a Family of Newton-Like Iterative Process with R -Order of Convergence At Least Three
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    Chapter 9 Measures of the Basins of Attracting n -Cycles for the Relaxed Newton’s Method
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    Chapter 10 On Convergence and Efficiency in the Resolution of Systems of Nonlinear Equations from a Local Analysis
Attention for Chapter 8: A Qualitative Analysis of a Family of Newton-Like Iterative Process with R -Order of Convergence At Least Three
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Citations

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Chapter title
A Qualitative Analysis of a Family of Newton-Like Iterative Process with R -Order of Convergence At Least Three
Chapter number 8
Book title
Advances in Iterative Methods for Nonlinear Equations
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-39228-8_8
Book ISBNs
978-3-31-939227-1, 978-3-31-939228-8
Authors

M. A. Hernández-Verón, N. Romero, Hernández-Verón, M. A., Romero, N.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 50%
Unknown 1 50%

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