Class SymmTridiagEVD


  • public class SymmTridiagEVD
    extends java.lang.Object
    Computes eigenvalues of symmetrical, tridiagonal matrices
    • Constructor Summary

      Constructors 
      Constructor Description
      SymmTridiagEVD​(int n)
      Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices.
      SymmTridiagEVD​(int n, boolean vectors)
      Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices.
      SymmTridiagEVD​(int n, boolean vectors, double abstol)
      Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices
      SymmTridiagEVD​(int n, double abstol)
      Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices.
    • Constructor Detail

      • SymmTridiagEVD

        public SymmTridiagEVD​(int n)
        Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices. Computes all eigenvalues and eigenvectors, and uses a low default tolerance criteria
        Parameters:
        n - Size of the matrix
      • SymmTridiagEVD

        public SymmTridiagEVD​(int n,
                              double abstol)
        Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices. Computes all eigenvalues and eigenvectors
        Parameters:
        n - Size of the matrix
        abstol - Absolute tolerance criteria
      • SymmTridiagEVD

        public SymmTridiagEVD​(int n,
                              boolean vectors)
        Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices. Uses a low default tolerance criteria
        Parameters:
        n - Size of the matrix
        vectors - True to compute the eigenvectors, false for just the eigenvalues
      • SymmTridiagEVD

        public SymmTridiagEVD​(int n,
                              boolean vectors,
                              double abstol)
        Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices
        Parameters:
        n - Size of the matrix
        vectors - True to compute the eigenvectors, false for just the eigenvalues
        abstol - Absolute tolerance criteria
    • Method Detail

      • factorize

        public static SymmTridiagEVD factorize​(Matrix A)
                                        throws NotConvergedException
        Convenience method for computing the full eigenvalue decomposition of the given matrix
        Parameters:
        A - Matrix to factorize. Main diagonal and superdiagonal is copied, and the matrix is not modified
        Returns:
        Newly allocated decomposition
        Throws:
        NotConvergedException
      • getEigenvalues

        public double[] getEigenvalues()
        Gets the eigenvalues (stored in ascending order)
      • getEigenvectors

        public DenseMatrix getEigenvectors()
        Gets the eigenvectors, if available
      • hasEigenvectors

        public boolean hasEigenvectors()
        True if the eigenvectors have been computed