[ANN] AcceleratedRPCholseky.jl: A fast way to find near-optimal low-rank approximations of kernel matrices

AcceleratedRPCholesky.jl for fast, near-optimal low-rank kernel matrix approximations I’m happy to announce AcceleratedRPCholesky.jl, which is an implementation of the Accelerated Randomly Pivoted Cholesky algorithm from Epperly et al. (I can’t include links, but you can find it at arXiv:2410.03969) This is my first Julia package published to the repo, so I welcome any feedback/suggestions anyone might have, as this is a learning experience for me. Also, a disclaimer: this package was written ...