Struct nalgebra_lapack::Eigen

pub struct Eigen<N: Scalar, D: Dim> where
    DefaultAllocator: Allocator<N, D> + Allocator<N, D, D>,  {
    pub eigenvalues: VectorN<N, D>,
    pub eigenvectors: Option<MatrixN<N, D>>,
    pub left_eigenvectors: Option<MatrixN<N, D>>,
}

Eigendecomposition of a real square matrix with real eigenvalues.

Fields

eigenvalues: VectorN<N, D>

The eigenvalues of the decomposed matrix.

eigenvectors: Option<MatrixN<N, D>>

The (right) eigenvectors of the decomposed matrix.

left_eigenvectors: Option<MatrixN<N, D>>

The left eigenvectors of the decomposed matrix.

Methods

impl<N: EigenScalar + RealField, D: Dim> Eigen<N, D> where
    DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>, 

pub fn new(
    m: MatrixN<N, D>,
    left_eigenvectors: bool,
    eigenvectors: bool
) -> Option<Eigen<N, D>>

Computes the eigenvalues and eigenvectors of the square matrix m.

If eigenvectors is false then, the eigenvectors are not computed explicitly.

pub fn complex_eigenvalues(m: MatrixN<N, D>) -> VectorN<Complex<N>, D> where
    DefaultAllocator: Allocator<Complex<N>, D>, 

The complex eigenvalues of the given matrix.

Panics if the eigenvalue computation does not converge.

pub fn determinant(&self) -> N

The determinant of the decomposed matrix.

Trait Implementations

impl<N: Scalar, D: Dim> Copy for Eigen<N, D> where
    DefaultAllocator: Allocator<N, D> + Allocator<N, D, D>,
    VectorN<N, D>: Copy,
    MatrixN<N, D>: Copy, 

impl<N: Clone + Scalar, D: Clone + Dim> Clone for Eigen<N, D> where
    DefaultAllocator: Allocator<N, D> + Allocator<N, D, D>, 

fn clone(&self) -> Eigen<N, D>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<N: Debug + Scalar, D: Debug + Dim> Debug for Eigen<N, D> where
    DefaultAllocator: Allocator<N, D> + Allocator<N, D, D>, 

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

Formats the value using the given formatter.