ege-kaya / numerical-linear-algebra

Various applications of numerical linear algebra, surveyed in the course CMPE482 at Bogazici University.

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Various applications of numerical linear algebra, surveyed in the course CMPE482 at Bogazici University.

These applications include, but are not limited to:

  • The Gram-Schmidt algorithm
  • QR-decomposition
  • Taylor approximation
  • The modified Gram-Schmidt algorithm
  • Linear transformations
  • Sorting
  • Linear classifiers
  • Tikhonov regularized inversion
  • Least-squares problems
  • Piecewise polynomial interpolation
  • Singular value decomposition
  • Image compression
  • Logistic regression
  • Multilayer perceptrons (a.k.a. neural networks)
  • Supervised learning

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Various applications of numerical linear algebra, surveyed in the course CMPE482 at Bogazici University.


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