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Linear Algebra with Python
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Linear Algebra with Python

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.
Alaotsikko
Theory and Applications
Painos
2023 ed.
ISBN
9789819929504
Kieli
englanti
Paino
446 grammaa
Julkaisupäivä
7.12.2023
Sivumäärä
309