pub fn mul_dense_mat_same_ordering<Lhs, Rhs, Res, Alpha, ByProd, I, Iptr, Mat, D>(
    lhs: &Mat,
    rhs: &ArrayBase<D, Ix2>,
    alpha: Alpha
) -> Array<Res, Ix2>where
    Lhs: Zero,
    Rhs: Zero,
    Res: Zero + Clone,
    Alpha: Copy + for<'r> Mul<&'r Lhs, Output = ByProd>,
    ByProd: for<'r> Mul<&'r Rhs, Output = Res>,
    I: SpIndex,
    Iptr: SpIndex,
    Mat: SpMatView<Lhs, I, Iptr>,
    D: Data<Elem = Rhs>,
Expand description

Compute coeff wise alpha * lhs * rhs with lhs a sparse matrix, rhs a dense matrix, and alpha a scalar

The matrices must have the same ordering, a CSR matrix must be multiplied with a matrix with C-like ordering, a CSC matrix must be multiplied with a matrix with F-like ordering.