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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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Lenguaje: | eng |
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Springer
2018
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-74222-9 http://cds.cern.ch/record/2303152 |
_version_ | 1780957318159007744 |
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author | Bornemann, Folkmar |
author_facet | Bornemann, Folkmar |
author_sort | Bornemann, Folkmar |
collection | CERN |
description | 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. |
id | cern-2303152 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Springer |
record_format | invenio |
spelling | cern-23031522021-04-21T18:55:24Zdoi:10.1007/978-3-319-74222-9http://cds.cern.ch/record/2303152engBornemann, FolkmarNumerical linear algebra: a concise introduction with Matlab and JuliaMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:23031522018 |
spellingShingle | Mathematical Physics and Mathematics Bornemann, Folkmar Numerical linear algebra: a concise introduction with Matlab and Julia |
title | Numerical linear algebra: a concise introduction with Matlab and Julia |
title_full | Numerical linear algebra: a concise introduction with Matlab and Julia |
title_fullStr | Numerical linear algebra: a concise introduction with Matlab and Julia |
title_full_unstemmed | Numerical linear algebra: a concise introduction with Matlab and Julia |
title_short | Numerical linear algebra: a concise introduction with Matlab and Julia |
title_sort | numerical linear algebra: a concise introduction with matlab and julia |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-74222-9 http://cds.cern.ch/record/2303152 |
work_keys_str_mv | AT bornemannfolkmar numericallinearalgebraaconciseintroductionwithmatlabandjulia |