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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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Detalles Bibliográficos
Autor principal: Bornemann, Folkmar
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-74222-9
http://cds.cern.ch/record/2303152
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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.
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institution Organización Europea para la Investigación Nuclear
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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