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Numerical Linear Algebra - A Concise Introduction with MATLAB and Julia
A Concise Introduction with MATLAB and Julia

von Bornemann, Folkmar
Übersetzt von: Walter Simson
Taschenbuch
X, 153 Seiten; 23.5 cm x 15.5 cm
2018 Springer International Publishing
ISBN 978-3-319-74221-2
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lagernd: Filiale Wiedner Hauptstr. 6


Preis: 49.49 EUR (inkl.USt.) 
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Inhalt
Autorentext: Folkmar Bornemann is Professor for Numerical Analysis and Scientific Computing at the Technical University of Munich. Inhalt:

This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics. The book highlights the usefulness of matrix partitioning compared to a component view, leading not only to a clearer notation and shorter algorithms, but also to significant runtime gains in modern computer architectures. The algorithms and accompanying numerical examples are given in the programming environment MATLAB, and additionally – in an appendix – in the future-oriented, freely accessible programming language Julia. This book is suitable for a two-hour lecture on numerical linear algebra from the second semester of a bachelor's degree in mathematics.

Zusatztext:

This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics. The book highlights the usefulness of matrix partitioning compared to a component view, leading not only to a clearer notation and shorter algorithms, but also to significant runtime gains in modern computer architectures. The algorithms and accompanying numerical examples are given in the programming environment MATLAB, and additionally – in an appendix – in the future-oriented, freely accessible programming language Julia. This book is suitable for a two-hour lecture on numerical linear algebra from the second semester of a bachelor's degree in mathematics.



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