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...

Full description

Saved in:
Bibliographic Details
Main Author: Langtangen, Hans Petter (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Series:Lecture Notes in Computational Science and Engineering, 110
Subjects:
Online Access:http://dx.doi.org/10.1007/978-3-319-29439-1
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-29439-1
003 DE-He213
005 20180131132530.0
007 cr nn 008mamaa
008 160610s2016 gw | s |||| 0|eng d
020 |a 9783319294391  |9 978-3-319-29439-1 
024 7 |a 10.1007/978-3-319-29439-1  |2 doi 
050 4 |a QA71-90 
072 7 |a PDE  |2 bicssc 
072 7 |a COM014000  |2 bisacsh 
072 7 |a MAT003000  |2 bisacsh 
082 0 4 |a 004  |2 23 
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 
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 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 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649) 
999 |c 188910  |d 188910