Changelog
1.0.1
- Approximation functions now also work if an overflows occurs.
- NumPys matrix is avoided now because it is deprecated now.
1.0
- Approximation functions are slightly faster now.
- Better overflow handling in approximation functions.
- Prebuild html documentation included.
- Function for approximating a matrix by a positive semidefinite matrix (matrix.approximate.positive_semidefinite_matrix) removed.
0.8
- Approximation functions are replaced by more sophisticated approximation functions.
- Explicit function for approximating a matrix by a positive (semi)definite matrix is added.
- Universal save and load functions are added.
- Decompositions obtain is_equal and is_almost_equal methods.
- Functions to multiply the matrix represented by a decomposition or its inverse with a matrix or a vector are added.
- Allow to directly pass a permutation vector to approximate and decompose methods.
0.7
- Lineare systems associated to matrices or decompositions can now be solved.
- Invertibility of matrices and decompositions can now be examined.
- Decompositions can now be examined to see if they contain only finite values.
0.6
- Decompositions are now saveable and loadable.
0.5
- Matrices can now be approximated by decompositions.
0.4
- Positive definiteness and positive semi-definiteness of matrices and decompositions can now be examined.
0.3
- Dense and sparse matrices are now decomposable into several types (LL, LDL, LDL compressed).
0.2
- Decompositons are now convertable to other decompositon types.
- Decompositions are now comparable.
0.1
- Several decompositions types are added (LL, LDL, LDL compressed).
- Several permutation capabilities added.