Finite Difference Computing with Exponential Decay Models
Langtangen, Hans Petter.
Finite Difference Computing with Exponential Decay Models [electronic resource] / by Hans Petter Langtangen. - 1st ed. 2016. - XIV, 200 p. 29 illus. online resource. - Lecture Notes in Computational Science and Engineering, 110 1439-7358 ; . - Lecture Notes in Computational Science and Engineering, 110 .
IT Carlow ebook
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. .
9783319294391
10.1007/978-3-319-29439-1 doi
Computer mathematics.
Computer programming.
Software engineering.
Physics.
Applied mathematics.
Engineering mathematics.
Computational Science and Engineering.
Programming Techniques.
Software Engineering.
Numerical and Computational Physics, Simulation.
Mathematical and Computational Engineering.
004
Finite Difference Computing with Exponential Decay Models [electronic resource] / by Hans Petter Langtangen. - 1st ed. 2016. - XIV, 200 p. 29 illus. online resource. - Lecture Notes in Computational Science and Engineering, 110 1439-7358 ; . - Lecture Notes in Computational Science and Engineering, 110 .
IT Carlow ebook
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. .
9783319294391
10.1007/978-3-319-29439-1 doi
Computer mathematics.
Computer programming.
Software engineering.
Physics.
Applied mathematics.
Engineering mathematics.
Computational Science and Engineering.
Programming Techniques.
Software Engineering.
Numerical and Computational Physics, Simulation.
Mathematical and Computational Engineering.
004