Newton Methods for Nonlinear Problems (Hardcover)

~ Peter Deuflhard (Author) "This chapter is an elementary introduction into the general theme of this book..." (more)
Key Phrases: affine covariance, iterative refinement sweeps, tangent continuation method, Exercises Exercise, Convex Functional Descent (more...)

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Product Description

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.

About the Author

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.

Product Details

• Hardcover: 430 pages
• Publisher: Springer (January 17, 2005)
• Language: English
• ISBN-10: 3540210997
• ISBN-13: 978-3540210993
• Product Dimensions: 9.4 x 6.2 x 1.2 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Average Customer Review: No customer reviews yet. Be the first.
• Amazon.com Sales Rank: #1,645,691 in Books (See Bestsellers in Books)