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portada A First Course in the Numerical Analysis of Differential Equations 2nd Edition Paperback (Cambridge Texts in Applied Mathematics)
A First Course in the Numerical Analysis of Differential Equations 2nd Edition Paperback (Cambridge Texts in Applied Mathematics) A First Course in the Numerical Analysis of Differential Equations 2nd Edition Paperback (Cambridge Texts in Applied Mathematics) A First Course in the Numerical Analysis of Differential Equations 2nd Edition Paperback (Cambridge Texts in Applied Mathematics)
Type
Physical Book
Year
2008
Language
English
Pages
480
Format
Paperback
Dimensions
24.4x17.5x2.5 cm
Weight
0.88 kg.
ISBN
0521734908
ISBN13
9780521734905
Edition No.
0002

A First Course in the Numerical Analysis of Differential Equations 2nd Edition Paperback (Cambridge Texts in Applied Mathematics)

Arieh Iserles (Author) · Cambridge University Press · Paperback

A First Course in the Numerical Analysis of Differential Equations 2nd Edition Paperback (Cambridge Texts in Applied Mathematics) - Iserles, Arieh

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Synopsis "A First Course in the Numerical Analysis of Differential Equations 2nd Edition Paperback (Cambridge Texts in Applied Mathematics) "

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.

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