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MATH 307 Applied Linear Algebra

Learning Goals

  • Summarize properties and constructions of matrix decompositions LU, QR and SVD
  • Perform matrix computations using mathematical software Python, SciPy and Jupyter
  • Compute solutions of linear systems of equations using matrix decompositions
  • Compute least squares approximations of linear systems of equations using matrix decompositions
  • Approximate eigenvalues of matrices using iterative methods
  • Analyze digital signals using the discrete Fourier transform