Numerical Analysis in Modern Scientific Computing, Fachbücher von Peter Deuflhard, Andreas Hohmann
This introductory book directs the reader to a selection of useful elementary numerical algorithms on a reasonably sound theo... Mehr erfahren
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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 stu.
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Lieferzeit:2-4 Werktage
Marke:Springer