Trait SparseOps

Source

pub trait SparseOps {
    // Required methods
    fn spmv(
        &self,
        alpha: f32,
        x: &[f32],
        beta: f32,
        y: &mut [f32],
    ) -> Result<(), SparseError>;
    fn spmm(
        &self,
        alpha: f32,
        b: &[f32],
        b_cols: usize,
        beta: f32,
        c: &mut [f32],
    ) -> Result<(), SparseError>;
}

Expand description

Sparse matrix operations trait.

Provides SpMV and SpMM with provable error bounds.

Required Methods§

Source

fn spmv( &self, alpha: f32, x: &[f32], beta: f32, y: &mut [f32], ) -> Result<(), SparseError>

Sparse matrix-vector multiply: y = α * A * x + β * y

§Contract: sparse-spmv-v1.yaml / spmv

Preconditions: x.len() == self.cols(), y.len() == self.rows() Postcondition: backward error ≤ nnz_per_row * f32::EPSILON * ||A||_inf * ||x||_inf