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A First Course in the Numerical Analysis of Differential Equations [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Iserles, Arieh
  • Author:  Iserles, Arieh
  • ISBN-10:  0521734908
  • ISBN-10:  0521734908
  • ISBN-13:  9780521734905
  • ISBN-13:  9780521734905
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  480
  • Pages:  480
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2008
  • Pub Date:  01-May-2008
  • SKU:  0521734908-11-MPOD
  • SKU:  0521734908-11-MPOD
  • Item ID: 100704829
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.
An extensively updated second edition including new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients.This extensively updated second edition includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods, finite difference and finite elements techniques for the Poisson equation, and a variety of algorithms to solve large, sparse algebraic systems.This extensively updated second edition includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods, finite difference and finite elements techniques for the Poisson equation, and a variety of algorithms to solve large, sparse algebraic systems.Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.Preface to the first editilóâ
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