Trait linxal::eigenvalues::general::Eigen
[−]
[src]
pub trait Eigen: LinxalImplScalar { fn compute_into<D>(
mat: ArrayBase<D, Ix2>,
compute_left: bool,
compute_right: bool
) -> Result<Solution<Self, Self::Complex>, EigenError>
where
D: DataOwned<Elem = Self> + DataMut<Elem = Self>; fn compute<D>(
mat: &ArrayBase<D, Ix2>,
compute_left: bool,
compute_right: bool
) -> Result<Solution<Self, Self::Complex>, EigenError>
where
D: Data<Elem = Self>, { ... } }
Scalar trait for computing eigenvalues.
In order to extract eigenvalues or eigenvectors from a matrix,
that matrix with must have entries implementing the Eigen trait.
Required Methods
fn compute_into<D>(
mat: ArrayBase<D, Ix2>,
compute_left: bool,
compute_right: bool
) -> Result<Solution<Self, Self::Complex>, EigenError> where
D: DataOwned<Elem = Self> + DataMut<Elem = Self>,
mat: ArrayBase<D, Ix2>,
compute_left: bool,
compute_right: bool
) -> Result<Solution<Self, Self::Complex>, EigenError> where
D: DataOwned<Elem = Self> + DataMut<Elem = Self>,
Return the eigenvalues and, optionally, the left and/or right eigenvectors of a general matrix.
The entries in the input matrix mat are modified when
calculating the eigenvalues.
Provided Methods
fn compute<D>(
mat: &ArrayBase<D, Ix2>,
compute_left: bool,
compute_right: bool
) -> Result<Solution<Self, Self::Complex>, EigenError> where
D: Data<Elem = Self>,
mat: &ArrayBase<D, Ix2>,
compute_left: bool,
compute_right: bool
) -> Result<Solution<Self, Self::Complex>, EigenError> where
D: Data<Elem = Self>,
Return the eigenvvalues and, optionally, the eigenvectors of a general matrix.