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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 3: Newton’s Method for Convex Optimization
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Citations

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3 Mendeley
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Chapter title
Newton’s Method for Convex Optimization
Chapter number 3
Book title
Advances in Iterative Methods for Nonlinear Equations
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-39228-8_3
Book ISBNs
978-3-31-939227-1, 978-3-31-939228-8
Authors

Ioannis K. Argyros, Daniel González, Argyros, Ioannis K., González, Daniel

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 2 67%
Arts and Humanities 1 33%
Business, Management and Accounting 1 33%

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