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.
| ISBN: | 9783319742212 |
| Publication date: | 28th February 2018 |
| Author: | Folkmar Bornemann |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 153 pages |
| Series: | Springer Undergraduate Mathematics Series |
| Genres: |
Algebra Numerical analysis |
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.
Numerical Linear Algebra features in the following genres: Algebra, Numerical analysis
Paperback. Not Available.
Numerical Linear Algebra was written by Folkmar Bornemann and published by Springer an imprint of Springer International Publishing
Numerical Linear Algebra has 153 pages
Yes it is part of Springer Undergraduate Mathematics Series series