__Function:__gsl_eigen_symm_workspace ***gsl_eigen_symm_alloc***(const size_t*`n`)-
This function allocates a workspace for computing eigenvalues of
`n`-by-`n`real symmetric matrices. The size of the workspace is @math{O(2n)}.

__Function:__void**gsl_eigen_symm_free***(gsl_eigen_symm_workspace **`w`)-
This function frees the memory associated with the workspace
`w`.

__Function:__int**gsl_eigen_symm***(gsl_matrix **`A`, gsl_vector *`eval`, gsl_eigen_symm_workspace *`w`)-
This function computes the eigenvalues of the real symmetric matrix
`A`. Additional workspace of the appropriate size must be provided in`w`. 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.

__Function:__gsl_eigen_symmv_workspace ***gsl_eigen_symmv_alloc***(const size_t*`n`)-
This function allocates a workspace for computing eigenvalues and
eigenvectors of
`n`-by-`n`real symmetric matrices. The size of the workspace is @math{O(4n)}.

__Function:__void**gsl_eigen_symmv_free***(gsl_eigen_symmv_workspace **`w`)-
This function frees the memory associated with the workspace
`w`.

__Function:__int**gsl_eigen_symmv***(gsl_matrix **`A`, gsl_vector *`eval`, gsl_matrix *`evec`, gsl_eigen_symmv_workspace *`w`)-
This function computes the eigenvalues and eigenvectors of the real
symmetric matrix
`A`. Additional workspace of the appropriate size must be provided in`w`. 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.

Go to the first, previous, next, last section, table of contents.