Examples of NonPositiveDefiniteMatrixException

Examples of org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException

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        // Eigenvalues of the covariance matrix.
        final double[] covMatEigenvalues = covMatDec.getRealEigenvalues();

        for (int i = 0; i < covMatEigenvalues.length; i++) {
            if (covMatEigenvalues[i] < 0) {
                throw new NonPositiveDefiniteMatrixException(covMatEigenvalues[i], i, 0);
            }
        }

        // Matrix where each column is an eigenvector of the covariance matrix.
        final Array2DRowRealMatrix covMatEigenvectors = new Array2DRowRealMatrix(dim, dim);
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Examples of org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException

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        // Eigenvalues of the covariance matrix.
        final double[] covMatEigenvalues = covMatDec.getRealEigenvalues();

        for (int i = 0; i < covMatEigenvalues.length; i++) {
            if (covMatEigenvalues[i] < 0) {
                throw new NonPositiveDefiniteMatrixException(covMatEigenvalues[i], i, 0);
            }
        }

        // Matrix where each column is an eigenvector of the covariance matrix.
        final Array2DRowRealMatrix covMatEigenvectors = new Array2DRowRealMatrix(dim, dim);
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Examples of org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException

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        // Eigenvalues of the covariance matrix.
        final double[] covMatEigenvalues = covMatDec.getRealEigenvalues();

        for (int i = 0; i < covMatEigenvalues.length; i++) {
            if (covMatEigenvalues[i] < 0) {
                throw new NonPositiveDefiniteMatrixException(covMatEigenvalues[i], i, 0);
            }
        }

        // Matrix where each column is an eigenvector of the covariance matrix.
        final Array2DRowRealMatrix covMatEigenvectors = new Array2DRowRealMatrix(dim, dim);
View Full Code Here

Examples of org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException

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        // Eigenvalues of the covariance matrix.
        final double[] covMatEigenvalues = covMatDec.getRealEigenvalues();

        for (int i = 0; i < covMatEigenvalues.length; i++) {
            if (covMatEigenvalues[i] < 0) {
                throw new NonPositiveDefiniteMatrixException(covMatEigenvalues[i], i, 0);
            }
        }

        // Matrix where each column is an eigenvector of the covariance matrix.
        final Array2DRowRealMatrix covMatEigenvectors = new Array2DRowRealMatrix(dim, dim);
View Full Code Here
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