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Finite difference computing with exp...
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Langtangen, Hans Petter.
Finite difference computing with exponential decay models
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Finite difference computing with exponential decay models/ by Hans Petter Langtangen.
Author:
Langtangen, Hans Petter.
Published:
Cham :Springer International Publishing : : 2016.,
Description:
xiv, 200 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Finite differences. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-29439-1
ISBN:
9783319294391
Finite difference computing with exponential decay models
Langtangen, Hans Petter.
Finite difference computing with exponential decay models
[electronic resource] /by Hans Petter Langtangen. - Cham :Springer International Publishing :2016. - xiv, 200 p. :ill., digital ;24 cm. - Lecture notes in computational science and engineering,1101439-7358 ;. - Lecture notes in computational science and engineering ;52..
Preface -- Algorithms and implementations -- Analysis -- Generalizations -- Models -- Scientific Software Engineering -- References -- Index.
Open access.
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.
ISBN: 9783319294391
Standard No.: 10.1007/978-3-319-29439-1doiSubjects--Topical Terms:
528594
Finite differences.
LC Class. No.: QA431
Dewey Class. No.: 515.62
Finite difference computing with exponential decay models
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ill., digital ;
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Preface -- Algorithms and implementations -- Analysis -- Generalizations -- Models -- Scientific Software Engineering -- References -- Index.
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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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Mathematics and Statistics (Springer-11649)
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