diff options
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 1ee2b9bf8..c4575e377 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -9,7 +9,7 @@ dgeev, zgeev, dgesdd, zgesdd, dgelsd, zgelsd, dsyevd, zheevd, dgetrf, zgetrf, dpotrf, zpotrf, dgeqrf, zgeqrf, zungqr, dorgqr. """ -__all__ = ['solve', 'tensorsolve', 'tensorinv', +__all__ = ['matrix_power', 'solve', 'tensorsolve', 'tensorinv', 'inv', 'cholesky', 'eigvals', 'eigvalsh', 'pinv', @@ -26,6 +26,7 @@ from numpy.core import array, asarray, zeros, empty, transpose, \ isfinite, size from numpy.lib import triu from numpy.linalg import lapack_lite +from numpy.core.defmatrix import matrix_power fortran_int = intc @@ -134,6 +135,7 @@ def _assertNonEmpty(*arrays): if size(a) == 0: raise LinAlgError("Arrays cannot be empty") + # Linear equations def tensorsolve(a, b, axes=None): @@ -326,6 +328,7 @@ def inv(a): a, wrap = _makearray(a) return wrap(solve(a, identity(a.shape[0], dtype=a.dtype))) + # Cholesky decomposition def cholesky(a): @@ -1053,6 +1056,7 @@ def det(a): sign = add.reduce(pivots != arange(1, n+1)) % 2 return (1.-2.*sign)*multiply.reduce(diagonal(a), axis=-1) + # Linear Least Squares def lstsq(a, b, rcond=-1): |