
Finite Difference Computing with Exponential Decay Models
Kurzinformation



inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
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. von Langtangen, Hans Petter
Produktdetails

So garantieren wir Dir zu jeder Zeit Premiumqualität.
Über den Autor
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.
- Hardcover
- 176 Seiten
- Erschienen 1990
- Friedrich Vieweg & Sohn...
- Hardcover
- 632 Seiten
- Erschienen 1996
- Springer
- Gebunden
- 334 Seiten
- Erschienen 2007
- Springer
- Hardcover
- 548 Seiten
- Erschienen 1993
- Springer
- hardcover -
- Erschienen 1992
- Ravenna Park Pub
- Gebunden
- 736 Seiten
- Erschienen 2011
- Springer
- Hardcover
- 428 Seiten
- Erschienen 1984
- Friedrick Vieweg & Son
- Hardcover -
- Erschienen 2017
- Springer
- Hardcover
- 456 Seiten
- Erschienen 2000
- Wiley-Interscience
- hardcover
- 299 Seiten
- Erschienen 2019
- Wiley
- paperback
- 468 Seiten
- Erschienen 1992
- Vieweg+Teubner Verlag
- Hardcover
- 204 Seiten
- Erschienen 1999
- Oxford University Press