Eigen.java

package mikera.matrixx.decompose;

import mikera.matrixx.AMatrix;
import mikera.matrixx.decompose.impl.eigen.SymmetricQRAlgorithmDecomposition;

public class Eigen {
    
    /**
     * <p>
     * Computes the eigenvalues and eigenvectors of a matrix. Returns an object that represents
     * the solution of the decomposition.
     * Returns null if the decomposition fails.
     * </p>
     * @param A The input matrix. It must be a square symmetric matrix.
     * @param computeVectors Should it compute the eigenvectors or just eigenvalues.
     * @return an IEigenResult object that represents the solution to the decomposition.
     */
    public static IEigenResult decompose(AMatrix A, boolean computeVectors) {
        throw new java.lang.UnsupportedOperationException("This has not yet been implemented");
    }
    /**
     * <p>
     * Computes the eigenvalues and eigenvectors of a matrix. Returns an object that represents
     * the solution of the decomposition.
     * Returns null if the decomposition fails.
     * </p>
     * @param A The input matrix. It must be a square symmetric matrix.
     * @return an IEigenResult object that represents the solution to the decomposition.
     */
    public static IEigenResult decompose(AMatrix A) {
        return decompose(A, true);
    }
    
    /**
     * <p>
     * Computes the eigenvalues and eigenvectors of a real symmetric matrix. Returns an object that represents
     * the solution of the decomposition.
     * Returns null if the decomposition fails.
     * </p>
     * @param A The input matrix. It must be a square symmetric matrix.
     * @param computeVectors Should it compute the eigenvectors or just eigenvalues.
     * @return an IEigenResult object that represents the solution to the decomposition.
     */
    public static IEigenResult decomposeSymmetric(AMatrix A, boolean computeVectors) {
        SymmetricQRAlgorithmDecomposition alg = new SymmetricQRAlgorithmDecomposition(computeVectors);
        return alg.decompose(A);
    }
    /**
     * <p>
     * Computes the eigenvalues and eigenvectors of a real symmetric matrix. Returns an object that represents
     * the solution of the decomposition.
     * Returns null if the decomposition fails.
     * </p>
     * @param A The input matrix. It must be a square symmetric matrix.
     * @return an IEigenResult object that represents the solution to the decomposition.
     */
    public static IEigenResult decomposeSymmetric(AMatrix A) {
        return decomposeSymmetric(A, true);
    }
}