info.py 1.2 KB

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  1. """\
  2. Core Linear Algebra Tools
  3. -------------------------
  4. Linear algebra basics:
  5. - norm Vector or matrix norm
  6. - inv Inverse of a square matrix
  7. - solve Solve a linear system of equations
  8. - det Determinant of a square matrix
  9. - lstsq Solve linear least-squares problem
  10. - pinv Pseudo-inverse (Moore-Penrose) calculated using a singular
  11. value decomposition
  12. - matrix_power Integer power of a square matrix
  13. Eigenvalues and decompositions:
  14. - eig Eigenvalues and vectors of a square matrix
  15. - eigh Eigenvalues and eigenvectors of a Hermitian matrix
  16. - eigvals Eigenvalues of a square matrix
  17. - eigvalsh Eigenvalues of a Hermitian matrix
  18. - qr QR decomposition of a matrix
  19. - svd Singular value decomposition of a matrix
  20. - cholesky Cholesky decomposition of a matrix
  21. Tensor operations:
  22. - tensorsolve Solve a linear tensor equation
  23. - tensorinv Calculate an inverse of a tensor
  24. Exceptions:
  25. - LinAlgError Indicates a failed linear algebra operation
  26. """
  27. from __future__ import division, absolute_import, print_function
  28. depends = ['core']