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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‘Linear Algebra with Python - Tsukada, Makoto, Kobayashi, Yuji, Kaneko, Hiroshi, Takahasi, Sin-Ei’.
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