The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
Abstract: Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes ...
Abstract: We study the performance behavior of the sparse matrix-vector product operation in distributed computing environments, in the case of very large non-diagonal matrices where the nonzero ...
Currently includes a lightweight C language library for sparse matrix computation based on the Compressed Sparse Row (CSR) format. The library supports basic sparse operations, iterative solvers ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.