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      Linear Algebra with Python

      Linear Algebra with Python

      THEORY AND APPLICATIONS
      Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi
      0.0 / 10 ( 0 votes)
      Categories:
      Exact Sciences. Mathematics, Programming, development
      Language:
      Engleza
      Publishing Date:
      2023
      Publisher:
      Cover Type:
      Hardcover
      Page Count:
      310
      Collection:
      Edition:
      1st ed. 2023
      ISBN:
      9789819929504
      Dimensions: l: 17.8cm | H: 25.4cm
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      Publisher's Synopsis
      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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