Linear Algebra with Python: Theory and Applications, 2nd Edition
by Hiroshi Kaneko, Kiyoshi Shirayanagi, Makoto Tsukada, Masato Noguchi, Sin-Ei Takahasi, Yuji Kobayashi
- Length: 314 pages
- Edition: 2
- Language: English
- Publisher: Springer Nature
- Publication Date: 2024-01-27
- ISBN-10: 9819929504
- ISBN-13: 9789819929504
- Sales Rank: #0 (See Top 100 Books)
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.
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