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.
Ik heb een vraag over het boek: ‘Linear Algebra with Python - Tsukada, Makoto, Kobayashi, Yuji, Kaneko, Hiroshi, Takahasi, Sin-Ei’.
Vul het onderstaande formulier in.
We zullen zo spoedig mogelijk antwoorden.
