I am running RIVET with point cloud data in 198 dimensions, with 498 points and 3 digits of precision. Building the distance matrix is noticeably slow.
Perhaps we should be using floating point arithmetic to compute the distance matrix, and then rounding to exact arithmetic after?
Originally reported by: M L (GitHub: mlesnick)
I am running RIVET with point cloud data in 198 dimensions, with 498 points and 3 digits of precision. Building the distance matrix is noticeably slow.
Perhaps we should be using floating point arithmetic to compute the distance matrix, and then rounding to exact arithmetic after?