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Newton Methods for Nonlinear Problems

Newton Methods for Nonlinear Problems

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Author: Peter Deuflhard
Publisher: Springer
Category: Book

List Price: $99.00
Buy New: $60.78
You Save: $38.22 (39%)



New (22) Used (8) from $60.78

Sales Rank: 981239

Media: Hardcover
Pages: 430
Number Of Items: 1
Shipping Weight (lbs): 1.6
Dimensions (in): 9.5 x 6.2 x 1.2

ISBN: 3540210997
Dewey Decimal Number: 513
EAN: 9783540210993

Publication Date: January 17, 2005
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Shipping: International shipping available
Condition: SHIPS TODAY!!!!!! BRAND NEW BOOK

Accessories:

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  • Geometry: Our Cultural Heritage
  • Mathematics for Computer Graphics

Similar Items:

  • Solving Nonlinear Equations with Newton's Method (Fundamentals of Algorithms)
  • Iterative Methods for Linear and Nonlinear Equations (Frontiers in Applied Mathematics)
  • Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
  • Scientific Computing with Ordinary Differential Equations
  • Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics)

Editorial Reviews:

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.



 
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