Numerical Linear Algebra
A Concise Introduction with MATLAB and Julia
Seiten
2018
Springer International Publishing (Verlag)
978-3-319-74221-2 (ISBN)
Springer International Publishing (Verlag)
978-3-319-74221-2 (ISBN)
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.
Folkmar Bornemann is Professor for Numerical Analysis and Scientific Computing at the Technical University of Munich.
Preface.- I Computing with Matrices.- II Matrix Factorization.- III Error Analysis.- IV Least Squares.- V Eigenvalue Problems.- Appendix.- Notation.- Index.
| Erscheinungsdatum | 12.03.2018 |
|---|---|
| Reihe/Serie | Springer Undergraduate Mathematics Series |
| Übersetzer | Walter Simson |
| Zusatzinfo | X, 153 p. 1 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Original-Titel | Numerische lineare Algebra |
| Maße | 155 x 235 mm |
| Gewicht | 259 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Algebra |
| Mathematik / Informatik ► Mathematik ► Analysis | |
| Schlagworte | Bornemann • Error Analysis • linear algebra • matrices • matrix theory • numerical linear algebra • Numerical Mathematics • Numerics |
| ISBN-10 | 3-319-74221-3 / 3319742213 |
| ISBN-13 | 978-3-319-74221-2 / 9783319742212 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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