Is ` SuiteSparse.CHOLMOD.ldlt` working correctly?

General Usage
1

I have a sparse matrix, symmetric, real. Dimension 101680 , number of non zeros ~6M.
Calling cholesky takes around 11 seconds.

@time K = SuiteSparse.CHOLMOD.cholesky(K)

Calling ldlt results in several minutes of “nothing happening”, by the end of which there is still no result.

@time K = SuiteSparse.CHOLMOD.ldlt(K)

I wonder if anyone has been successful using this solver?

Edit: ldlt took almost half an hour.

2

I have had success with ldlt, but if your matrix is SPD you should use cholesky. I’m not 100% sure if this is still the case, but I believe suitepsarse cholesky has a supernodal implementation, while ldlt does not.