本文整理汇总了Java中org.ejml.interfaces.decomposition.EigenDecomposition类的典型用法代码示例。如果您正苦于以下问题：Java EigenDecomposition类的具体用法？Java EigenDecomposition怎么用？Java EigenDecomposition使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

EigenDecomposition类属于org.ejml.interfaces.decomposition包，在下文中一共展示了EigenDecomposition类的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Java代码示例。

示例1: getEigenvectors

import org.ejml.interfaces.decomposition.EigenDecomposition; //导入依赖的package包/类
/**
 * Calculates a List of eigenvalues and eigenvectors from the provided 3x3 (covariance) matrix.
 *
 * @param matrix 3x3 Matrix to derive the eigenvalues and eigenvectors from.
 * @return List of pairs containing both the eigenvalues and the eigenvectors. The entries are
 * sorted in ascending order of the eigenvalue.
 */
private static List<Pair<Float,Vector3f>> getEigenvectors(DenseMatrix64F matrix) {
    List<Pair<Float,Vector3f>> eigenvectors = new ArrayList<>();

    EigenDecomposition<DenseMatrix64F> eig = DecompositionFactory.eig(3, true);
    eig.decompose(matrix);

    int eigValNum = eig.getNumberOfEigenvalues();
    for(int i = 0; i < eigValNum; i++){
        DenseMatrix64F eigMat = eig.getEigenVector(i);
        if(eigMat != null){
            eigenvectors.add(new Pair<>((float)eig.getEigenvalue(i).getReal(), new Vector3f((float)eigMat.get(0,0), (float)eigMat.get(1,0), (float)eigMat.get(2,0))));
        }
    }

    eigenvectors.sort(Comparator.comparing(e -> e.first));

    return eigenvectors;
} 

示例2: defaultSymm

import org.ejml.interfaces.decomposition.EigenDecomposition; //导入依赖的package包/类
public static long defaultSymm(DMatrixRMaj orig , int numTrials ) {

        EigenDecomposition<DMatrixRMaj> alg = DecompositionFactory_DDRM.eig(orig.numCols, true, true);

        long prev = System.currentTimeMillis();

        for( long i = 0; i < numTrials; i++ ) {
            if( !DecompositionFactory_DDRM.decomposeSafe(alg,orig) ) {
                throw new RuntimeException("Bad matrix");
            }
        }

        return System.currentTimeMillis() - prev;
    } 

示例3: testVectorsLinearlyIndependent

import org.ejml.interfaces.decomposition.EigenDecomposition; //导入依赖的package包/类
/**
 * Checks to see if all the real eigenvectors are linearly independent of each other.
 */
public void testVectorsLinearlyIndependent( EigenDecomposition<DMatrixRMaj> alg ) {
    int N = alg.getNumberOfEigenvalues();

    // create a matrix out of the eigenvectors
    DMatrixRMaj A = new DMatrixRMaj(N,N);

    int off = 0;
    for( int i = 0; i < N; i++ ) {
        DMatrixRMaj v = alg.getEigenVector(i);

        // it can only handle real eigenvectors
        if( v == null )
            off++;
        else {
            for( int j = 0; j < N; j++ ) {
                A.set(i-off,j,v.get(j));
            }
        }
    }

    // see if there are any real eigenvectors
    if( N == off )
        return;

    A.reshape(N-off,N, false);

    assertTrue(MatrixFeatures_DDRM.isRowsLinearIndependent(A));
} 

示例4: getEVD

import org.ejml.interfaces.decomposition.EigenDecomposition; //导入依赖的package包/类
/**
 * Returns the underlying decomposition that this is a wrapper around.
 *
 * @return EigenDecomposition
 */
public EigenDecomposition getEVD() {
    return eig;
} 

本文标签属性：

示例：示例是什么意思

代码：代码生成器

java：java面试题

EigenDecomposition：EigenDecomposition