DrTimothyAldenDavis
commented
3 years ago This is the first request I've had to write a matrix factorization to a file, and read it back in, so I haven't considered writing such a function. It's not a common requirement, but I can add it to the list of possible future extensions.
As a workaround, you could write the file as a Matrix Market file, then read it back in. It won't be a CHOLMOD factorization when read back in, but just a simple sparse matrix. However, you could do the forward/backsolve using CSparse, instead, which takes as input just a simple sparse matrix.
On Fri, Mar 5, 2021 at 2:22 AM Huiguang Yi notifications@github.com wrote:
I'm always frustrated when I need to factorize a matrix A in to LL' in step1 and then solve LL'x=b in step2. I need first write the cholmod_factor object L and cholmod_common object c to file, and read them into memory later. However, i cannot find a routine can handle these. i'd like there is a write routine to write L an c to file, and a read routine to read L and c to memory. These functions will be very useful in the cases where LL'x=b need be run much more frequently than factorizing A to LL' , then user need only factorize A to LL' once.
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yhg926
I'm always frustrated when I need to factorize a matrix A in to LL' in step1 and then solve LL'x=b in step2. I need first write the cholmod_factor object L and cholmod_common object c to file, and read them into memory later. However, i cannot find a routine can handle these. i'd like there is a write routine to write L an c to file, and a read routine to read L and c to memory. These functions will be very useful in the cases where LL'x=b need be run much more frequently than factorizing A to LL' , then user need only factorize A to LL' once.