Numerical linear algebra : a concise introduction with MATLAB and Julia / Folkmar Bornemann.
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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| Online Access: |
Full Text (via Springer) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2018.
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| Series: | Springer undergraduate mathematics series,
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| Subjects: |
| Summary: | 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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| Physical Description: | 1 online resource (x, 153 pages) : color illustrations. |
| ISBN: | 9783319742229 3319742221 |
| ISSN: | 1615-2085. |