koblas
com.eignex.koblas/sparse/SparseOps.kt

gemv

fun F64SparseMatrix.gemv(x: DoubleArray, transpose: Boolean = false): DoubleArray(source)

this · x, or thisᵀ · x when transpose, with the active backend (koblas).

lu

fun F64SparseMatrix.lu(equilibrate: Boolean = false, dropTolerance: Double = NO_DROP): F64SparseFactorization(source)

Factorize this sparse matrix with the active backend (koblas), the counterpart of F64DenseMatrix.lu.

trsv

fun F64SparseMatrix.trsv(x: DoubleArray, lower: Boolean, transpose: Boolean = false, unitDiag: Boolean = false)(source)

Solve op(T) · x = b in place against this matrix's lower or upper triangle, with the active backend (koblas). See F64SparseBlas.trsv.