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Numerical continuation methods : an introduction
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
The Basic Principles of Continuation Methods
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Chapter 3
Newton’s Method as Corrector
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Chapter 4
Solving the Linear Systems
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Chapter 5
Convergence of Euler-Newton-Like Methods
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Chapter 6
Steplength Adaptations for the Predictor
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Chapter 7
Predictor-Corrector Methods Using Updating
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Chapter 8
Detection of Bifurcation Points Along a Curve
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Chapter 9
Calculating Special Points of the Solution Curve
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Chapter 10
Large Scale Problems
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Chapter 11
Numerically Implementable Existence Proofs
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Chapter 12
PL Continuation Methods
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Chapter 13
PL Homotopy Algorithms
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Chapter 14
General PL Algorithms on PL Manifolds
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Chapter 15
Approximating Implicitly Defined Manifolds
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Chapter 16
Update Methods and their Numerical Stability
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
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1181
Dimensions
Readers on
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48
Mendeley
citeulike
1
CiteULike
Book overview
1. Introduction
2. The Basic Principles of Continuation Methods
3. Newton’s Method as Corrector
4. Solving the Linear Systems
5. Convergence of Euler-Newton-Like Methods
6. Steplength Adaptations for the Predictor
7. Predictor-Corrector Methods Using Updating
8. Detection of Bifurcation Points Along a Curve
9. Calculating Special Points of the Solution Curve
10. Large Scale Problems
11. Numerically Implementable Existence Proofs
12. PL Continuation Methods
13. PL Homotopy Algorithms
14. General PL Algorithms on PL Manifolds
15. Approximating Implicitly Defined Manifolds
16. Update Methods and their Numerical Stability
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
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syllabus from an institution on Open Syllabus Project.
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Economics, Business, Engineering, Area and Ethnic Studies