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portada Linear Algebra with Python. Theory and Applications
Type
Physical Book
Collection
Springer Undergraduate Texts in Mathematics and Technology
Year
2024
Pages
309
Format
Paperback
Dimensions
25.40 x 17.80 cm
ISBN13
9789819929535

Linear Algebra with Python. Theory and Applications

Hiroshi Kaneko;Yuji Kobayashi;Sin-Ei Takahasi;Masato Noguchi;Makoto Tsukada;Kiyoshi Shirayanagi (Author) · Springer Verlag, Singapore · Paperback

Linear Algebra with Python. Theory and Applications - Hiroshi Kaneko;Yuji Kobayashi;Sin-Ei Takahasi;Masato Noguchi;Makoto Tsukada;Kiyoshi Shirayanagi

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Synopsis "Linear Algebra with Python. Theory and Applications"

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.

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