Linear Algebra with Python: Theory and Applications (Springer Undergraduate

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. Autor: Makoto Tsukada, Yuji Kobayashi Wydawnictwo: Springer Rok wydania: 2023 Okładka: twarda Liczba stron: 309 Wymiary: 18.3 x 26.2 x 2.9 cm Ilustracje: 10 Tables, color; 64 Illustrations, color; 27 Illustrations, black and white; XV, 309 p. 91 illus., 64 illus. in color. Język: angielski ISBN: 9789819929504