Examples of DimensionMismatchException

org.apache.commons.math.DimensionMismatchException
Error thrown when two dimensions differ. @since 1.2 @version $Revision: 1061778 $ $Date: 2011-01-21 13:12:39 +0100 (ven. 21 janv. 2011) $ @deprecated in 2.2 (to be removed in 3.0). Please use its equivalent from package{@link org.apache.commons.math.exception}.
org.apache.commons.math.exception.DimensionMismatchException
Exception to be thrown when two dimensions differ. @since 2.2 @version $Revision$ $Date$
org.apache.commons.math3.exception.DimensionMismatchException
Exception to be thrown when two dimensions differ. @since 2.2

Examples of org.apache.commons.math3.exception.DimensionMismatchException

     * match the mapper dimension
     */
    public void insertEquationData(double[] equationData, double[] complete)
        throws DimensionMismatchException {
        if (equationData.length != dimension) {
            throw new DimensionMismatchException(equationData.length, dimension);
        }
        System.arraycopy(equationData, 0, complete, firstIndex, dimension);
    }

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Examples of org.apache.commons.math3.exception.DimensionMismatchException

        this.data = new double[data.length][data[0].length];


        for (int i = 0; i < data.length; i++) {
            if (data[i].length != data[0].length) {
                // Jagged arrays not allowed
                throw new DimensionMismatchException(data[i].length,
                                                     data[0].length);
            }
            if (data[i].length < 2) {
                throw new NumberIsTooSmallException(LocalizedFormats.NUMBER_TOO_SMALL,
                                                    data[i].length, 2, true);

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Examples of org.apache.commons.math3.exception.DimensionMismatchException


        final int numMeanColumns
            = initialMixture.getComponents().get(0).getSecond().getMeans().length;


        if (numMeanColumns != numCols) {
            throw new DimensionMismatchException(numMeanColumns, numCols);
        }


        int numIterations = 0;
        double previousLogLikelihood = 0d;

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