Struct Svd 

pub struct Svd {
    pub u: Matrix,
    pub singular_values: Vec<f64>,
    pub vt: Matrix,
    pub rank: usize,
    pub sweeps: usize,
    pub max_column_correlation: f64,
}

Fields

u: Matrix

m by min(m,n), including an orthonormal completion of the null columns.

singular_values: Vec<f64>

Nonnegative, descending, explicitly thresholded singular values.

vt: Matrix

min(m,n) by n; transpose, not conjugate transpose (real inputs only).

rank: usize

sweeps: usize

max_column_correlation: f64

Implementations

impl Svd

pub fn factor( a: MatrixView<'_>, options: SvdOptions, ) -> Result<Self, SolverError>

pub fn solve(&self, b: MatrixView<'_>) -> Result<Matrix, SolverError>

Moore-Penrose minimum-norm solve using the explicitly truncated SVD. Supports over/underdetermined and rank-deficient problems, multiple RHS.

pub fn pseudo_inverse(&self) -> Result<Matrix, SolverError>

Trait Implementations

impl Clone for Svd

fn clone(&self) -> Svd

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Svd

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

Formats the value using the given formatter.