Struct SparseMatrix 

pub struct SparseMatrix<F> { /* private fields */ }

A sparse matrix implementation using the Compressed Sparse Row (CSR) format.

Implementations

impl<F: Field> SparseMatrix<F>

pub fn new( row_offsets: Vec<usize>, col_indices: Vec<usize>, values: Vec<F>, num_cols: usize, ) -> Self

Creates a new sparse matrix from its CSR components.

pub fn new_rows_cols(num_rows: usize, num_cols: usize) -> SparseMatrix<F>

Creates an empty sparse matrix with the specified dimensions.

pub fn write(&mut self, row: usize, col: usize, val: F)

Writes a value to the specified position in the matrix.

Panics

• If row or column indices are out of bounds
• If attempting to write a zero value

Trait Implementations

impl<F: Clone> Clone for SparseMatrix<F>

fn clone(&self) -> SparseMatrix<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for SparseMatrix<F>

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

Formats the value using the given formatter.

impl<F: Default> Default for SparseMatrix<F>

fn default() -> SparseMatrix<F>

Returns the “default value” for a type.

impl<F: Field + Display> Display for SparseMatrix<F>

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

Formats the value using the given formatter.

impl<F: Field> Mul<&SparseMatrix<F>> for &SparseMatrix<F>

fn mul(self, rhs: &SparseMatrix<F>) -> Self::Output

Performs element-wise (Hadamard) matrix multiplication.

Panics

If matrix dimensions don’t match.

type Output = SparseMatrix<F>

The resulting type after applying the * operator.

impl<F: Field> Mul<&Vec<F>> for &SparseMatrix<F>

fn mul(self, rhs: &Vec<F>) -> Self::Output

Performs matrix-vector multiplication.

Panics

If the vector length doesn’t match the matrix column count.

type Output = Vec<F>

The resulting type after applying the * operator.

impl<F: PartialEq> PartialEq for SparseMatrix<F>

fn eq(&self, other: &SparseMatrix<F>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<F: Eq> Eq for SparseMatrix<F>

impl<F> StructuralPartialEq for SparseMatrix<F>