Linear Algebra with Python: Theory and Applications

Linear Algebra with Python: Theory and Applications
артикул: 2615110
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Linear Algebra with Python: Theory and Applications By Tsukada, Makoto Published by Springer Publication Date: 2023-12-07 Subject: Computers Languages General, Computers Languages - Python, Mathematics Algebra General, Mathematics Functional Analysis, Mathematics Algebra - Linear, Mathematics Functional Analysis, Algebra, Algebra,Functional Analysis & Transforms,Programming & Scripting Languages: General, Functional Analysis & Transforms, Programming & Scripting Languages: General, Functional Analysis And Transforms, Programming And Scripting Languages: General, Mathematics Algebra - Linear, Mathematics, Algebra - Linear Subject Keywords: Orthogonal Projection; Fourier Expansion; Generalized Inverse; Singular Value Decomposition; Tensor Product; One-Parameter Semigroup; Matrix Representation; Jordan Normal Form; Peron-Frobenius Theorem; Dynamical System; Markov Chain; Markov Random Field; KL Expansion; Kalman Filter; Jupyter Notebook; NumPy; Matplotlib; Spectral Radius; SymPy; VPython Genre: Mathematics, Algebra - Linear Target Audience: A Read for the Modern Generation
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