Finite Difference Computing with Exponential Decay Models: Lecture Notes in Computational Science and Engineering, cartea 110
Autor Hans Petter Langtangenen Limba Engleză Hardback – 12 iun 2016
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Specificații
ISBN-13: 9783319294384
ISBN-10: 3319294385
Pagini: 240
Ilustrații: XIV, 200 p. 29 illus.
Dimensiuni: 178 x 254 x 18 mm
Greutate: 0.61 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computational Science and Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3319294385
Pagini: 240
Ilustrații: XIV, 200 p. 29 illus.
Dimensiuni: 178 x 254 x 18 mm
Greutate: 0.61 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computational Science and Engineering
Locul publicării:Cham, Switzerland
Cuprins
Preface.- Algorithms and implementations.- Analysis.- Generalizations.- Models.- Scientific Software Engineering.- References.- Index.
Recenzii
“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)
Notă biografică
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 books, including papers and a bestseller TCSE 6 "A Primer on Scientific Programming with Python", now in its 4th edition. He has also developed open source and commercial software systems for computational sciences.
Caracteristici
Easy-to-read mathematics with detailed explanations Demonstrates the transition of a mathematical problem to well-tested computer code in detail Uses modern Python-based programming tools and techniques Illustrates the computing pipeline: model, method, algorithm, implementation, testing, and visualization....