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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| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Edition: | 1st ed. 2016. |
| Series: | Lecture Notes in Computational Science and Engineering,
110 |
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| Online Access: | Link to Metadata |
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| 024 | 7 | |a 10.1007/978-3-319-29439-1 |2 doi | |
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| 100 | 1 | |a Langtangen, Hans Petter. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Finite Difference Computing with Exponential Decay Models |h [electronic resource] / |c by Hans Petter Langtangen. |
| 250 | |a 1st ed. 2016. | ||
| 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 | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 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 2197-7100 ; |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 |x Data processing. | |
| 650 | 0 | |a Computer programming. | |
| 650 | 0 | |a Software engineering. | |
| 650 | 0 | |a Mathematical physics. | |
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering |x Data processing. | |
| 650 | 1 | 4 | |a Computational Science and Engineering. |
| 650 | 2 | 4 | |a Programming Techniques. |
| 650 | 2 | 4 | |a Software Engineering. |
| 650 | 2 | 4 | |a Theoretical, Mathematical and Computational Physics. |
| 650 | 2 | 4 | |a Mathematical and Computational Engineering Applications. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319294384 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319294407 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319805733 |
| 830 | 0 | |a Lecture Notes in Computational Science and Engineering, |x 2197-7100 ; |v 110 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-319-29439-1 |z Link to Metadata |
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| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||