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.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Springer Undergraduate Mathematics Series |
| Release date: |
February 2018 |
| First published: |
2018 |
| Authors: |
Folkmar Bornemann
|
| Translators: |
Walter Simson
|
| Dimensions: |
235 x 155 x 13mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
153 |
| Edition: |
1st ed. 2018 |
| ISBN-13: |
978-3-319-74221-2 |
| Languages: |
English
|
| Subtitles: |
German
|
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Algebra >
General
|
| LSN: |
3-319-74221-3 |
| Barcode: |
9783319742212 |
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