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Table of contents (8 chapters)
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DIFFERENTIAL EQUATIONS
Reviews
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“This monograph covers a multitude of Newton methods and presents the algorithms and their convergence analysis from the perspective of affine invariance, which has been the subject of research by the author since 1970. … The book is intended for graduate students of mathematics and computational science and also for researchers in the area of numerical analysis and scientific computing. … As a research monograph, the book not only assembles the current state of the art, but also points to future research prospects.” (Gudula Runger, ACM Computing Reviews, June, 2012)
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Bibliographic Information
Book Title: Newton Methods for Nonlinear Problems
Book Subtitle: Affine Invariance and Adaptive Algorithms
Authors: Peter Deuflhard
Series Title: Springer Series in Computational Mathematics
DOI: https://doi.org/10.1007/978-3-642-23899-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-23898-7Published: 16 September 2011
eBook ISBN: 978-3-642-23899-4Published: 18 September 2011
Series ISSN: 0179-3632
Series E-ISSN: 2198-3712
Edition Number: 1
Number of Pages: XII, 424
Number of Illustrations: 49 b/w illustrations
Topics: Computational Mathematics and Numerical Analysis, Computational Science and Engineering, Ordinary Differential Equations, Mathematical and Computational Engineering, Optimization, Math Applications in Computer Science