Struct SparseCsr 

pub struct SparseCsr {
    pub values: Vec<f64>,
    pub col_indices: Vec<usize>,
    pub row_offsets: Vec<usize>,
    pub nrows: usize,
    pub ncols: usize,
}

Compressed Sparse Row (CSR) matrix representation.

Stores non-zero values in three arrays: values, col_indices, and row_offsets (of length nrows + 1). This layout enables fast row-wise access and sparse matrix-vector products.

Fields

values: Vec<f64>

col_indices: Vec<usize>

row_offsets: Vec<usize>

nrows: usize

ncols: usize

Implementations

impl SparseCsr

pub fn nnz(&self) -> usize

Number of non-zero elements.

pub fn get(&self, row: usize, col: usize) -> f64

Access element at (row, col). Returns 0.0 for zero entries.

pub fn matvec(&self, x: &[f64]) -> Result<Vec<f64>, RuntimeError>

Compute sparse matrix-vector multiplication: y = A * x.

Each row dot product uses kahan_sum_f64 for deterministic results.

Errors

Returns RuntimeError::DimensionMismatch if x.len() != self.ncols.

pub fn to_dense(&self) -> Tensor

Convert to dense Tensor.

pub fn from_coo(coo: &SparseCoo) -> Self

Construct CSR from COO data.

Trait Implementations

impl Clone for SparseCsr

fn clone(&self) -> SparseCsr

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SparseCsr

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.