gemv
lu
fun SparseMatrix.lu(equilibrate: Boolean = false, dropTolerance: Double = NO_DROP): SparseFactorization(source)
Factorize this sparse matrix with the active backend (koblas) — the sparse counterpart of DenseMatrix.lu(), carrying the same name for the same operation on the other storage.
trsv
Solve op(T) · x = b in place against this matrix's lower or upper triangle, with the active backend (koblas) — the sparse counterpart of the dense trsv free function. See SparseBlas.trsv.