TomMaullin

Hey! I am performing sparse numerical optimisation for mixed effects model estimation. To ensure certain matrices remain positive definite during the optimisation I need to perform a cholesky factorisation and...

Hi, it does yes thank you. However this decomposition may be run hundreds of thousands of times in my code and ideally everything would be done in `sparse` as the...

Apologies, I must have missed this response; I am no longer facing this issue as our system changed from SGE to SLURM.

Hi @nicholst @cmaumet , yes this makes sense to me. Just to double check though, I should: - Add the terms discussed in this PR to the Google doc for...

Ah, of course, sure! ``` # Example matrix matrix = np.arange(9).reshape([3,3]) # Expected answer expected_output = np.array([0,3,6,1,4,7,2,5,8]).reshape([9,1]) # Test whether the function gave the correct result. testVal = np.allclose(mat2vec2D(matrix), expected_output)...

I have just realised I never replied to this. Apologies, I must admit I am still unsure what caused this issue and how it was resolved.