Package no.uib.cipr.matrix
Class SymmTridiagEVD
java.lang.Object
no.uib.cipr.matrix.SymmTridiagEVD
Computes eigenvalues of symmetrical, tridiagonal matrices
-
Constructor Summary
ConstructorsConstructorDescriptionSymmTridiagEVD
(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 matricesSymmTridiagEVD
(int n, double abstol) Sets up an eigenvalue decomposition for symmetrical, tridiagonal matrices. -
Method Summary
Modifier and TypeMethodDescriptionComputes the eigenvalue decomposition of the given matrixstatic SymmTridiagEVD
Convenience method for computing the full eigenvalue decomposition of the given matrixdouble[]
Gets the eigenvalues (stored in ascending order)Gets the eigenvectors, if availableboolean
True if the eigenvectors have been computed
-
Constructor Details
-
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 matrixabstol
- 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 matrixvectors
- 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 matrixvectors
- True to compute the eigenvectors, false for just the eigenvaluesabstol
- Absolute tolerance criteria
-
-
Method Details
-
factorize
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
-
factor
Computes the eigenvalue decomposition of the given matrix- Parameters:
A
- Matrix to factorize. Overwritten on return- Returns:
- The current eigenvalue decomposition
- Throws:
NotConvergedException
-
getEigenvalues
public double[] getEigenvalues()Gets the eigenvalues (stored in ascending order) -
getEigenvectors
Gets the eigenvectors, if available -
hasEigenvectors
public boolean hasEigenvectors()True if the eigenvectors have been computed
-