Struct Matrix 

pub struct Matrix { /* private fields */ }

Dense matrix representation

Implementations

impl Matrix

pub fn new(data: Array2<f64>) -> Self

Create a new matrix from 2D array

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

Create a random matrix for testing

pub fn diagonally_dominant(size: usize, dominance_factor: f64) -> Self

Create a diagonally dominant matrix (guaranteed solvable)

pub fn shape(&self) -> (usize, usize)

Get matrix dimensions

pub fn view(&self) -> ArrayView2<'_, f64>

Get matrix as array view

pub fn is_square(&self) -> bool

Check if matrix is square

pub fn spectral_radius(&self) -> f64

Compute spectral radius (largest eigenvalue magnitude)

pub fn multiply_vector(&self, v: &Vector) -> Vector

Multiply matrix by vector

pub fn to_sparse(&self) -> SparseMatrix

Convert to sparse format

Trait Implementations

impl Clone for Matrix

fn clone(&self) -> Matrix

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Matrix

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Matrix

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Matrix

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.