This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization. The pedagogical strategy is to use one case study - an ordinary differential equation describing exponential decay processes - to illustrate fundamental concepts in mathematics and computer science. The book is easy to read and only requires a command of one-variable calculus and some very basic knowledge about computer programming. Contrary to similar texts on numerical methods and programming, this text has a much stronger focus on implementation and teaches testing and software engineering in particular.
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Hans Petter Langtangen is a professor of computer science at the University of Oslo. He has formerly been a professor of mechanics and is now the director of a Norwegian Center of Excellence: "Center for Biomedical Computing", at Simula Research Laboratory. Langtangen has published over 100 scientific publications and written several books, including papers and a bestseller TCSE 6 "A Primer on Scientific Programming with Python", now in its 4th edition. He has also developed open source and commercial software systems for computational sciences.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization. The pedagogical strategy is to use one case study - an ordinary differential equation describing exponential decay processes - to illustrate fundamental concepts in mathematics and computer science. The book is easy to read and only requires a command of one-variable calculus and some very basic knowledge about computer programming. Contrary to similar texts on numerical methods and programming, this text has a much stronger focus on implementation and teaches testing and software engineering in particular. 216 pp. Englisch. Nº de ref. del artículo: 9783319294384
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Condición: New. Series: Lecture Notes in Computational Science and Engineering. Num Pages: 214 pages, 29 black & white illustrations, biography. BIC Classification: PDE; PHU; TBJ; UMZ. Category: (G) General (US: Trade). Dimension: 189 x 264 x 18. Weight in Grams: 600. . 2016. 1st ed. 2016. Hardcover. . . . . Nº de ref. del artículo: V9783319294384
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Easy-to-read mathematics with detailed explanationsDemonstrates the transition of a mathematical problem to well-tested computer code in detailUses modern Python-based programming tools and techniquesIllustrates the computing pipeline: model,. Nº de ref. del artículo: 109519254
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