Newton Methods for Nonlinear Problems

Affine Invariance and Adaptive Algorithms
1. Auflage 2004. Corr. 2. printing. Softcover version of original hardcover Auflage 2004
ISBN: 978-3-642-05927-8
Verlag: Springer

Buch, Englisch, Band 35, 424 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 663 g

Reihe: Springer Series in Computational Mathematics

This book deals with the efficient numerical solution of challenging nonlinear problems in science and engineering, both in finite and in infinite dimension. Its focus is on local and global Newton methods for direct problems or Gauss-Newton methods for inverse problems. 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.

Zielgruppe

Research

Autoren/Hrsg.

Deuflhard, Peter

Fachgebiete

• Mathematik | Informatik Mathematik Mathematische Analysis Differentialrechnungen und -gleichungen
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik

Über Autor(innen)

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.