Struct rgsl::types::eigen_symmetric_workspace::EigenNonSymmetricVWorkspace

pub struct EigenNonSymmetricVWorkspace { /* private fields */ }

Implementations

impl EigenNonSymmetricVWorkspace

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

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

pub fn params(&mut self, balance: i32)

This function sets parameters which determine how the eigenvalue problem is solved in subsequent calls to gsl_eigen_nonsymmv. If balance is set to 1, a balancing transformation is applied to the matrix. See gsl_eigen_nonsymm_params for more information. Balancing is turned off by default since it does not preserve the orthogonality of the Schur vectors.

pub fn nonsymmv( &mut self, A: &mut MatrixF64, eval: &mut VectorComplexF64, evec: &mut MatrixComplexF64 ) -> Result<(), Value>

This function computes eigenvalues and right eigenvectors of the n-by-n real nonsymmetric matrix A. It first calls gsl_eigen_nonsymm to compute the eigenvalues, Schur form T, and Schur vectors. Then it finds eigenvectors of T and backtransforms them using the Schur vectors. The Schur vectors are destroyed in the process, but can be saved by using gsl_eigen_nonsymmv_Z. The computed eigenvectors are normalized to have unit magnitude. On output, the upper portion of A contains the Schur form T. If gsl_eigen_nonsymm fails, no eigenvectors are computed, and an error code is returned.

pub fn nonsymmv_Z( &mut self, A: &mut MatrixF64, eval: &mut VectorComplexF64, evec: &mut MatrixComplexF64, Z: &mut MatrixF64 ) -> Result<(), Value>

This function is identical to gsl_eigen_nonsymmv except that it also saves the Schur vectors into Z.

Trait Implementations

impl Drop for EigenNonSymmetricVWorkspace

fn drop(&mut self)

Executes the destructor for this type.