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Numerical Analysis in Modern Scientific Computing: An Introduction (Texts in Applied Mathematics, Band 43) - Softcover

Buch 27 von 55: Texts in Applied Mathematics

Deuflhard, Peter; Hohmann, Andreas

 
9781441929907: Numerical Analysis in Modern Scientific Computing: An Introduction (Texts in Applied Mathematics, Band 43)

Inhaltsangabe

This book provides an accessible and self-contained introduction to the many topics of numerical analysis. It contains a large number of exercises and examples and many figures.

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Über die Autorin bzw. den Autor

Peter Deuflhard, founder of ZIB and co-founder of MATHEON in Berlin, has written successful books in numerical analysis and scientific computing (three of them with Springer). Susanna Röblitz is Head of the research group Computational Systems Biology at ZIB and professor for Applied Mathematics and Bioinformatics at FU Berlin.

Von der hinteren Coverseite

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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