Struct SparseMatrix 

pub struct SparseMatrix { /* private fields */ }

A sparse matrix stored in Compressed Sparse Row (CSR) format. Only non-zero elements are stored, making it efficient for sparse matrices.

Implementations

impl SparseMatrix

pub fn new(rows: usize, cols: usize) -> Self

Creates a new sparse matrix with the given dimensions.

pub fn identity(size: usize) -> Self

Creates a sparse identity matrix.

pub fn from_dense(dense: &Matrix) -> Self

Creates a sparse matrix from a dense matrix.

pub fn nrows(&self) -> usize

Returns the number of rows.

pub fn ncols(&self) -> usize

Returns the number of columns.

pub fn nnz(&self) -> usize

Returns the number of non-zero elements.

pub fn get(&self, row: usize, col: usize) -> Rational64

Gets the element at position (row, col).

pub fn set(&mut self, row: usize, col: usize, value: Rational64)

Sets the element at position (row, col). Note: This is inefficient for CSR format. Consider building the matrix incrementally using a builder pattern or from a dense matrix.

pub fn mul_vec(&self, v: &[Rational64]) -> Vec<Rational64>

Sparse matrix-vector multiplication: returns A * v

pub fn mul(&self, other: &SparseMatrix) -> SparseMatrix

Sparse matrix-matrix multiplication: returns A * B

pub fn transpose(&self) -> SparseMatrix

Transposes the sparse matrix.

pub fn to_dense(&self) -> Matrix

Converts the sparse matrix to a dense matrix.

Trait Implementations

impl Clone for SparseMatrix

fn clone(&self) -> SparseMatrix

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparseMatrix

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

Formats the value using the given formatter.

impl Display for SparseMatrix

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

Formats the value using the given formatter.

impl PartialEq for SparseMatrix

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for SparseMatrix