Struct Matrix 

pub struct Matrix { /* private fields */ }

Implementations

impl Matrix

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

pub fn from_vec( data: Vec<f64>, rows: usize, cols: usize, ) -> Result<Self, String>

pub fn identity(size: usize) -> Self

pub fn rows(&self) -> usize

pub fn cols(&self) -> usize

pub fn transpose(&self) -> Matrix

pub fn transpose_with_parallel(&self, parallel: bool) -> Matrix

pub fn lu_decomposition(&self) -> Result<(Matrix, Matrix, Vec<usize>), String>

pub fn lu_decomposition_with_tolerance( &self, singular_relative_epsilon: f64, ) -> Result<(Matrix, Matrix, Vec<usize>), String>

pub fn solve_lu(&self, b: &Matrix) -> Result<Matrix, String>

pub fn solve_lu_with_tolerance( &self, b: &Matrix, singular_relative_epsilon: f64, ) -> Result<Matrix, String>

pub fn solve_least_squares_qr(&self, b: &Matrix) -> Result<Matrix, String>

Solve a (possibly non-square) least squares problem using Householder QR.

Solves min_x ||A x - b||_2, where A is self.

• If rows >= cols, returns the standard least-squares solution.
• If rows < cols, returns the minimum-norm solution among all minimizers.

pub fn solve_least_squares_qr_with_parallel( &self, b: &Matrix, parallel: bool, ) -> Result<Matrix, String>

pub fn solve_least_squares_qr_with_info( &self, b: &Matrix, ) -> Result<(Matrix, LeastSquaresQrInfo), String>

Solve a (possibly non-square) least squares problem using Householder QR, returning diagnostic information about rank and conditioning.

pub fn solve_least_squares_qr_with_info_with_parallel( &self, b: &Matrix, parallel: bool, ) -> Result<(Matrix, LeastSquaresQrInfo), String>

pub fn norm(&self) -> f64

pub fn try_add(&self, rhs: &Matrix) -> Result<Matrix, MatrixError>

pub fn try_sub(&self, rhs: &Matrix) -> Result<Matrix, MatrixError>

pub fn try_mul(&self, rhs: &Matrix) -> Result<Matrix, MatrixError>

pub fn try_mul_with_parallel( &self, rhs: &Matrix, parallel: bool, ) -> Result<Matrix, MatrixError>

Trait Implementations

impl Add for &Matrix

type Output = Matrix

The resulting type after applying the + operator.

fn add(self, rhs: Self) -> Self::Output

Performs the + operation.

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 Display for Matrix

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

Formats the value using the given formatter.

impl Index<(usize, usize)> for Matrix

type Output = f64

The returned type after indexing.

fn index(&self, (row, col): (usize, usize)) -> &Self::Output

Performs the indexing (container[index]) operation.

impl IndexMut<(usize, usize)> for Matrix

fn index_mut(&mut self, (row, col): (usize, usize)) -> &mut Self::Output

Performs the mutable indexing (container[index]) operation.

impl Mul<f64> for &Matrix

type Output = Matrix

The resulting type after applying the * operator.

fn mul(self, scalar: f64) -> Self::Output

Performs the * operation.

impl Mul for &Matrix

type Output = Matrix

The resulting type after applying the * operator.

fn mul(self, rhs: Self) -> Self::Output

Performs the * operation.

impl PartialEq for Matrix

fn eq(&self, other: &Matrix) -> 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 Sub for &Matrix

type Output = Matrix

The resulting type after applying the - operator.

fn sub(self, rhs: Self) -> Self::Output

Performs the - operation.

impl StructuralPartialEq for Matrix