Numerical Linear Algebra
A Concise Introduction with MATLAB and Julia
(Sprache: Englisch)
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...
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Klappentext zu „Numerical Linear Algebra “
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.Inhaltsverzeichnis zu „Numerical Linear Algebra “
Preface.- I Computing with Matrices.- II Matrix Factorization.- III Error Analysis.- IV Least Squares.- V Eigenvalue Problems.- Appendix.- Notation.- Index.
Autoren-Porträt von Folkmar Bornemann
Folkmar Bornemann is Professor for Numerical Analysis and Scientific Computing at the Technical University of Munich.
Bibliographische Angaben
- Autor: Folkmar Bornemann
- 2018, 1st ed. 2018, X, 153 Seiten, 153 farbige Abbildungen, Maße: 15,5 x 23,7 cm, Kartoniert (TB), Englisch
- Übersetzer: Walter Simson
- Verlag: Springer, Berlin
- ISBN-10: 3319742213
- ISBN-13: 9783319742212
- Erscheinungsdatum: 28.02.2018
Sprache:
Englisch
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