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Linear Algebra with Python Theory and Applications - Farid - 12-07-2023
![[Image: 5ed6f037062a1201ed00b4ae140d7498.jpg]](https://i5.imageban.ru/out/2023/12/07/5ed6f037062a1201ed00b4ae140d7498.jpg)
Linear Algebra with Python | 315 | Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi | 2023 | Springer Nature Singapore |
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, formulas, and algorithms.
✅ Contents of Download:
⭐️ 978-981-99-2951-1.epub (68.62 MB)
⭐️ 978-981-99-2951-1.pdf (8.26 MB)
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✅ Linear Algebra with Python Theory and Applications (76.88 MB)
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