Fr. 69.00

Introduction to the Tools of Scientific Computing

English · Paperback / Softback

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Description

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The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike widely used standard approaches, it does not focus on any particular language but aims to explain the key underlying concepts.
In general, new concepts are first introduced in the particularly user-friendly Python language and then transferred and expanded in various scientific programming environments from C / C ++, Julia and MATLAB to Maple. This includes different approaches to distributed computing.

The fact that different languages are studied and compared also makes the book useful for mathematicians and practitioners trying to decide which programming language to use for which purposes.

List of contents

Introduction.- Part I, Background.- Part II, Core Languages.- Part III, Commercial Computing Environments.- Part IV, Distributed Computing.- Part V, Specialized Programming Environments.- References.- Index.

About the author










Einar Smith holds academic degrees in Mathematics from the Unversity of Bonn, in Economics from the University of Oslo, and in Computer Science from the University of Hamburg. 
He has published a textbook on Mathematical Computability Theory, and a biography of the German computer scientist C.A. Petri. Both books have been published by Springer. In recent years he has mainly been concerned with the teaching of numerical methods at the University of Bonn, with an emphasis on computer programming.


Product details

Authors Einar Smith
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 17.12.2021
 
EAN 9783030608101
ISBN 978-3-0-3060810-1
No. of pages 344
Dimensions 155 mm x 19 mm x 235 mm
Illustrations XII, 344 p. 40 illus., 33 illus. in color.
Series Texts in Computational Science and Engineering
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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