Changes
v0.4.2
- Bug where the ordering method is not taken into account is fixed.
- The Factor class has now a (public) copy method.
v0.4.1
- Bug with relaxed stride checking in NumPy 1.12 fixed.
- Support extended to Python 2.7 and 3.4 to 3.6 and NumPy 1.8 to 1.12.
v0.4
- 64-bit indices (type long) are now supported.
- The ordering method for Cholesky decomposition is now choosable.
- Specific exceptions subclasses are now thrown for each error condition
- Setup does not rely on an installed Cython anymore.
v0.3.1
- Ensure that arrays returned by the
Factor.solve_...() methods are
writeable.
v0.3
- Dropped deprecated
Factor.solve_P() and Factor.solve_P().
- Fixed a memory leak upon garbage collection of
Factor.
v0.2
Factor solve methods now return 1d output for 1d input
(just like np.dot does).
Factor.solve_P() and Factor.solve_P() deprecated; use
Factor.apply_P() and Factor.apply_Pt() instead.
- New methods for computing determinants of positive-definite
matrices:
Factor.det(), Factor.logdet(),
Factor.slogdet().
- New method for explicitly computing inverse of a positive-definite
matrix:
Factor.inv().
Factor.D() has much better implementation.
- Build system improvements.
- Wrapper code re-licensed under BSD terms.
v0.1
First public release.