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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 10: On Convergence and Efficiency in the Resolution of Systems of Nonlinear Equations from a Local Analysis
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Chapter title
On Convergence and Efficiency in the Resolution of Systems of Nonlinear Equations from a Local Analysis
Chapter number 10
Book title
Advances in Iterative Methods for Nonlinear Equations
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-39228-8_10
Book ISBNs
978-3-31-939227-1, 978-3-31-939228-8
Authors

Miquel Grau-Sánchez, Miquel Noguera, Grau-Sánchez, Miquel, Noguera, Miquel

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