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eigenvalues

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Computational Linear Algebra course covering topics like iterative methods, matrix decompositions, and applications. It includes theoretical concepts, practical exercises, and code. Advanced methods like QR factorization, spectral theorem, and iterative solvers for linear systems.

  • Updated Apr 3, 2024
  • Jupyter Notebook

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