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Numerical Analysis In Modern Scientific Computing An Introduction 2nd Edition Peter Deuflhard

  • SKU: BELL-4188832
Numerical Analysis In Modern Scientific Computing An Introduction 2nd Edition Peter Deuflhard
$ 31.00 $ 45.00 (-31%)

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Numerical Analysis In Modern Scientific Computing An Introduction 2nd Edition Peter Deuflhard instant download after payment.

Publisher: Springer-Verlag New York
File Extension: PDF
File size: 8.05 MB
Pages: 340
Author: Peter Deuflhard, Andreas Hohmann (auth.)
ISBN: 9780387215846, 9781441929907, 0387215840, 1441929908
Language: English
Year: 2003
Edition: 2

Product desciption

Numerical Analysis In Modern Scientific Computing An Introduction 2nd Edition Peter Deuflhard by Peter Deuflhard, Andreas Hohmann (auth.) 9780387215846, 9781441929907, 0387215840, 1441929908 instant download after payment.

This introductory book directs the reader to a selection of useful elementary numerical algorithms on a reasonably sound theoretical basis, built up within the text. The primary aim is to develop algorithmic thinking-emphasizing long-living computational concepts over fast changing software issues. The guiding principle is to explain modern numerical analysis concepts applicable in complex scientific computing at much simpler model problems. For example, the two adaptive techniques in numerical quadrature elaborated here carry the germs for either exploration methods or multigrid methods in differential equations, which are not treated here. The presentation draws on geometrical intuition wherever appropriate, supported by large number of illustrations. Numerous exercises are included for further practice and improved understanding.

This text will appeal to undergraduate and graduate students as well as researchers in mathematics, computer science, science, and engineering. At the same time, it is addressed to practical computational scientists who, via self-study, wish to become acquainted with modern concepts of numerical analysis and scientific computing on an elementary level. The sole prerequisite is undergraduate knowledge in linear algebra and calculus.

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