Numerical Linear Algebra A Concise Introduction with MATLAB and Julia /
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 partitioni...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham :
Springer International Publishing,
2018.
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| Ausgabe: | 1st ed. 2018. |
| Schriftenreihe: | Springer Undergraduate Mathematics Series,
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| Schlagworte: | |
| ISBN: | 9783319742229 |
| ISSN: | 1615-2085 |
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| 024 | 7 | |a 10.1007/978-3-319-74222-9 |2 doi | |
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| 041 | |a eng | ||
| 100 | 1 | |a Bornemann, Folkmar. |4 aut | |
| 245 | 1 | 0 | |a Numerical Linear Algebra |h [electronic resource] : |b A Concise Introduction with MATLAB and Julia / |c by Folkmar Bornemann. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Cham : |b Springer International Publishing, |c 2018. | |
| 300 | |a X, 153 p. 1 illus. in color. |b online resource. | ||
| 490 | 1 | |a Springer Undergraduate Mathematics Series, |x 1615-2085 | |
| 500 | |a Mathematics and Statistics | ||
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Matrix theory. | |
| 650 | 0 | |a Algebra. | |
| 650 | 0 | |a Numerical analysis. | |
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| 919 | |a 978-3-319-74222-9 | ||
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