Finite Difference Computing With Exponential Decay Models by Hans Petter LangtangenFinite Difference Computing With Exponential Decay Models by Hans Petter Langtangen

Finite Difference Computing With Exponential Decay Models

byHans Petter Langtangen

Hardcover | June 12, 2016

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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. 

Hans Petter Langtangen is a professor of computer science at the University of Oslo. He has formerly been a professor of mechanics and is now the director of a Norwegian Center of Excellence: "Center for Biomedical Computing", at Simula Research Laboratory. Langtangen has published over 100 scientific publications and written several b...
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Title:Finite Difference Computing With Exponential Decay ModelsFormat:HardcoverDimensions:200 pages, 25.4 × 17.8 × 0.03 inPublished:June 12, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319294385

ISBN - 13:9783319294384

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Reviews

Table of Contents

Preface.- Algorithms and implementations.- Analysis.- Generalizations.- Models.- Scientific Software Engineering.- References.- Index.

Editorial Reviews

"This text provides an overview of the basics of scientific computing. . the author provides an excellent introduction to the field of scientific computing via a consideration of physically relevant models. . This text is an excellent tool for teaching and ideal for readers who would like to enter the field, or reinforce prior knowledge." (Charis Harley, zbMATH 1356.65188, 2017)