Struct rgsl::types::eigen_symmetric_workspace::EigenSymmetricVWorkspace

pub struct EigenSymmetricVWorkspace { /* fields omitted */ }

Methods

impl EigenSymmetricVWorkspace

fn new(n: usize) -> Option<EigenSymmetricVWorkspace>

This function allocates a workspace for computing eigenvalues and eigenvectors of n-by-n real symmetric matrices. The size of the workspace is O(4n).

fn symmv(
    &self,
    A: &mut MatrixF64,
    eval: &mut VectorF64,
    evec: &mut MatrixF64
) -> Value

This function computes the eigenvalues and eigenvectors of the real symmetric matrix A. The diagonal and lower triangular part of A are destroyed during the computation, but the strict upper triangular part is not referenced. The eigenvalues are stored in the vector eval and are unordered. The corresponding 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 EigenSymmetricVWorkspace

fn drop(&mut self)

A method called when the value goes out of scope.