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Use coupon code “MARCH20” for a 20% discount on all items! Valid until 31-03-2025
Royal Mail express delivery to UK destinations
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Stock updates every 20 minutes!
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| Product ID: | 9789819929504 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Series: | Springer Undergraduate Texts in Mathematics and Technology |
| Title: | Linear Algebra with Python |
| Subtitle: | Theory and Applications |
| Authors: | Author: Hiroshi Kaneko, Yuji Kobayashi, Sin-Ei Takahasi, Masato Noguchi, Makoto Tsukada, Kiyoshi Shirayanagi |
| Page Count: | 309 |
| Subjects: | Algebra, Algebra, Functional analysis and transforms, Programming and scripting languages: general, Functional analysis & transforms, Programming & scripting languages: general |
| Description: | Select Guide Rating Advanced topics such as function space are taken up, along with Fourier analysis, the Perron–Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. |
| Imprint Name: | Springer Verlag, Singapore |
| Publisher Name: | Springer Verlag, Singapore |
| Country of Publication: | GB |
| Publishing Date: | 2023-12-07 |
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