The function’s capability to handle both row and column fields means that your data can be organized in a more structured manner than with traditional methods. Row fields are essentially the ...

Abstract: Column subset selection (CSS) is the problem of selecting a small portion of columns from a large data matrix as one form of interpretable data summarization. Leverage score sampling, which ...

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.