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Linear Algebra with Python: Theory and Applications
Linear Algebra with Python: Theory and Applications

Book Details

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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  • Authors Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi
  • ISBN13 9789819929504
  • ISBN10 9819929504
  • Pages 309
  • Published 2023
  • Fecha de publicación 07/12/2023
  • Language German, French
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Linear Algebra with Python: Theory and Applications

Linear Algebra with Python: Theory and Applications (German, French)

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