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Newton Methods for Nonlinear Problems: Affine Invariance and Adaptive Algorithms

Newton Methods for Nonlinear Problems: Affine Invariance and Adaptive Algorithms
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Field name Details
Dewey Class 518
Title Newton Methods for Nonlinear Problems ([Ebook]) : Affine Invariance and Adaptive Algorithms / by Peter Deuflhard.
Author Deuflhard, Peter
Other name(s) SpringerLink (Online service)
Publication Berlin, Heidelberg : Springer , 2011.
Physical Details XII, 424 pages:. 49 illus. : online resource.
Series Springer Series in Computational Mathematics 0179-3632 ; ; 35
ISBN 9783642238994
Summary Note This book deals with the efficient numerical solution of challenging nonlinear problems in science and engineering, both in finite dimension (algebraic systems) and in infinite dimension (ordinary and partial differential equations). Its focus is on local and global Newton methods for direct problems or Gauss-Newton methods for inverse problems. The term 'affine invariance' means that the presented algorithms and their convergence analysis are invariant under one out of four subclasses of affine transformations of the problem to be solved. Compared to traditional textbooks, the distinguishing affine invariance approach leads to shorter theorems and proofs and permits the construction of fully adaptive algorithms. Lots of numerical illustrations, comparison tables, and exercises make the text useful in computational mathematics classes. At the same time, the book opens many directions for possible future research.:
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-3-642-23899-4
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