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 páginas29 ilustraciones online resource. - Lecture Notes in Computational Science and Engineering, 110 2197-7100 ; . - Lecture Notes in Computational Science and Engineering, 110 .
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
Mathematics-Data processing.
Computer programming.
Software engineering.
Mathematical physics.
Engineering mathematics.
Engineering-Data processing.
Computational Science and Engineering.
Programming Techniques.
Software Engineering.
Theoretical, Mathematical and Computational Physics.
Mathematical and Computational Engineering Applications.
003.3
Finite Difference Computing with Exponential Decay Models [electronic resource] / by Hans Petter Langtangen. - 1st ed. 2016. - XIV, 200 páginas29 ilustraciones online resource. - Lecture Notes in Computational Science and Engineering, 110 2197-7100 ; . - Lecture Notes in Computational Science and Engineering, 110 .
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
Mathematics-Data processing.
Computer programming.
Software engineering.
Mathematical physics.
Engineering mathematics.
Engineering-Data processing.
Computational Science and Engineering.
Programming Techniques.
Software Engineering.
Theoretical, Mathematical and Computational Physics.
Mathematical and Computational Engineering Applications.
003.3