Linear algebra with python: theory and applications
Auteur :
Tsukada, Makoto / Kobayashi, Yuji / Kaneko, Hiroshi / Takahasi, Sin-Ei / Shirayanagi, Kiyoshi / Noguchi, Masato
Éditeur :
Springer Verlag, Singapore
ISBN :
9789819929535
Date de publication :
7 déc. 2024
Dimensions :
25,4 x 17,8 cm
Langue :
Anglais
Pays d'origine :
Singapour
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.