Newton Methods for Nonlinear Problems Affine Invariance and Adaptive Algorithms - gebunden oder broschiert

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ISBN/EAN: 3540210997

ISBN - alternative Schreibweisen:
3-540-21099-7, 978-3-540-21099-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: peter deuflhard
Titel des Buches: computational methods, springer series, let newton, springer mathematics, newton methods for nonlinear problems affine invariance and adaptive algorithms

Daten vom Verlag:

Autor/in: Peter Deuflhard
Titel: Springer Series in Computational Mathematics; Newton Methods for Nonlinear Problems - Affine Invariance and Adaptive Algorithms
Verlag: Springer; Springer Berlin
424 Seiten
Erscheinungsjahr: 2004-04-26
Berlin; Heidelberg; DE
Sprache: Englisch
117,69 € (DE)
120,99 € (AT)
130,00 CHF (CH)
Available
XII, 424 p. 48 illus.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Numerische Mathematik; Verstehen; Mathematik; Gauss-newton methods; Newton methods; affine invariance; continuation methods; differential equations; ordinary differential equations; Computational Mathematics and Numerical Analysis; Computational Science and Engineering; Differential Equations; Mathematical and Computational Engineering Applications; Optimization; Mathematical Applications in Computer Science; Differentialrechnung und -gleichungen; Mathematik für Ingenieure; Optimierung; Theoretische Informatik; BC

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.

Peter Deuflhard is founder and head of the internationally renowned Zuse Institute Berlin (ZIB) and full professor of Numerical Analysis and Scientific Computing at the Free University of Berlin. He is a regular invited speaker at international conferences and universities as well as industry places all over the world.

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.