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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          | Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο | 
| Γλώσσα: | Αγγλικά | 
| Έκδοση: | Cham :
          Springer International Publishing : Imprint: Springer,
    
        2016. | 
| Σειρά: | Lecture Notes in Computational Science and Engineering,
              110 | 
| Θέματα: | |
| Διαθέσιμο Online: | http://dx.doi.org/10.1007/978-3-319-29439-1 | 
| Ετικέτες: | Προσθήκη ετικέτας 
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| Περίληψη: | 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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| Φυσική περιγραφή: | XIV, 200 p. 29 illus. online resource. | 
| ISBN: | 9783319294391 | 
| ISSN: | 1439-7358 ; | 
| DOI: | 10.1007/978-3-319-29439-1 | 
| Πρόσβαση: | Open Access |