mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-21 07:19:46 +08:00
3a231c2349
solver from suitesparse (as cholmod). It seems to be even faster than SuperLU and it was much simpler to interface ! Well, the factorization is faster, but for the solve part, SuperLU is quite faster. On the other hand the solve part represents only a fraction of the whole procedure. Moreover, I bench random matrices that does not represents real cases, and I'm not sure at all I use both libraries with their best settings ! |
||
---|---|---|
.. | ||
src | ||
Array | ||
Cholesky | ||
CMakeLists.txt | ||
Core | ||
Geometry | ||
LU | ||
QR | ||
Regression | ||
Sparse | ||
SVD |