Struct rgsl::types::eigen_symmetric_workspace::EigenHermitianVWorkspace

pub struct EigenHermitianVWorkspace { /* private fields */ }

Implementations

impl EigenHermitianVWorkspace

pub fn new(n: usize) -> Option<Self>

This function allocates a workspace for computing eigenvalues and eigenvectors of n-by-n complex hermitian matrices. The size of the workspace is O(5n).

pub fn hermv( &mut self, A: &mut MatrixComplexF64, eval: &mut VectorF64, evec: &mut MatrixComplexF64 ) -> Result<(), Value>

This function computes the eigenvalues and eigenvectors of the complex hermitian matrix A. Additional workspace of the appropriate size must be provided in self. The diagonal and lower triangular part of A are destroyed during the computation, but the strict upper triangular part is not referenced. The imaginary parts of the diagonal are assumed to be zero and are not referenced. The eigenvalues are stored in the vector eval and are unordered. The corresponding complex eigenvectors are stored in the columns of the matrix evec. For example, the eigenvector in the first column corresponds to the first eigenvalue. The eigenvectors are guaranteed to be mutually orthogonal and normalised to unit magnitude.

Trait Implementations

impl Drop for EigenHermitianVWorkspace

fn drop(&mut self)

Executes the destructor for this type.