It has a whole collection of sparse matrix solvers. The one I used was CHOLMOD, which is the one used in MatLab IIRC. Which solver to choose depends on the nature of your matrix.

Although every business problem can't be solved with D&A, there are some specific use cases for which it can help in deriving insights and improving business performance.

The matrix-variate normal distribution is a popular model for high-dimensional transposable data because it decomposes the dependence structure of the random matrix into the Kronecker product of two ...

Matrix multiplication advancement could lead to faster, more efficient AI models At the heart of AI, matrix math has just seen its biggest boost "in more than a decade.” ...