Finite Difference Computing with Exponential Decay Models
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 p...
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Series: | Lecture Notes in Computational Science and Engineering,
110 |
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Online Access: | http://dx.doi.org/10.1007/978-3-319-29439-1 |
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024 | 7 | |a 10.1007/978-3-319-29439-1 |2 doi | |
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072 | 7 | |a MAT003000 |2 bisacsh | |
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100 | 1 | |a Langtangen, Hans Petter. |e author. | |
245 | 1 | 0 | |a Finite Difference Computing with Exponential Decay Models |h [electronic resource] / |c by Hans Petter Langtangen. |
264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
300 | |a XIV, 200 p. 29 illus. |b online resource. | ||
336 | |a text |b txt |2 rdacontent | ||
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338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | 1 | |a Lecture Notes in Computational Science and Engineering, |x 1439-7358 ; |v 110 | |
505 | 0 | |a Preface -- Algorithms and implementations -- Analysis -- Generalizations -- Models -- Scientific Software Engineering -- References -- Index. . | |
506 | 0 | |a Open Access | |
520 | |a 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. . | ||
650 | 0 | |a Mathematics. | |
650 | 0 | |a Computer programming. | |
650 | 0 | |a Software engineering. | |
650 | 0 | |a Computer mathematics. | |
650 | 0 | |a Physics. | |
650 | 0 | |a Applied mathematics. | |
650 | 0 | |a Engineering mathematics. | |
650 | 1 | 4 | |a Mathematics. |
650 | 2 | 4 | |a Computational Science and Engineering. |
650 | 2 | 4 | |a Programming Techniques. |
650 | 2 | 4 | |a Software Engineering. |
650 | 2 | 4 | |a Numerical and Computational Physics. |
650 | 2 | 4 | |a Appl.Mathematics/Computational Methods of Engineering. |
710 | 2 | |a SpringerLink (Online service) | |
773 | 0 | |t Springer eBooks | |
776 | 0 | 8 | |i Printed edition: |z 9783319294384 |
830 | 0 | |a Lecture Notes in Computational Science and Engineering, |x 1439-7358 ; |v 110 | |
856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-3-319-29439-1 |
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950 | |a Mathematics and Statistics (Springer-11649) | ||
999 | |c 188910 |d 188910 |