Linear Algebra with Python
Theory and Applications
$176.07
- Hardcover
309 pages
- Release Date
9 August 2023
Summary
This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems…
Book Details
| ISBN-13: | 9789819929504 |
|---|---|
| ISBN-10: | 9819929504 |
| Author: | Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi |
| Publisher: | Springer Verlag, Singapore |
| Imprint: | Springer Verlag, Singapore |
| Format: | Hardcover |
| Number of Pages: | 309 |
| Edition: | 2023rd |
| Release Date: | 9 August 2023 |
| Weight: | 809g |
| Dimensions: | 254mm x 178mm |
| Series: | Springer Undergraduate Texts in Mathematics and Technology |
About The Author
Makoto Tsukada
Makoto Tsukada has studied in the field of functional analysis. He has been teaching linear algebra, analysis, and probability theory for many years. Also, he has taught programming language courses using Pascal, Prolog, C, Python, etc. Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, and Masato Noguchi are specialists in algebra, analysis, statistics, and computers.
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