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

Package org.apache.commons.math3.exception

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

org.apache.commons.math3.exception.MathIllegalArgumentException
Base class for all preconditions violation exceptions. In most cases, this class should not be instantiated directly: it should serve as a base class to create all the exceptions that have the semantics of the standard {@link IllegalArgumentException}. @since 2.2

          throw new DimensionMismatchException(model.getInterpolatedState().length,
                                               getInterpolatedState().length);
      }


      if (forward ^ model.forward) {
          throw new MathIllegalArgumentException(LocalizedFormats.PROPAGATION_DIRECTION_MISMATCH);
      }


      final StepInterpolator lastInterpolator = steps.get(index);
      final double current  = lastInterpolator.getCurrentTime();
      final double previous = lastInterpolator.getPreviousTime();
      final double step = current - previous;
      final double gap = model.getInitialTime() - current;
      if (FastMath.abs(gap) > 1.0e-3 * FastMath.abs(step)) {
        throw new MathIllegalArgumentException(LocalizedFormats.HOLE_BETWEEN_MODELS_TIME_RANGES,
                                               FastMath.abs(gap));
      }


    }

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        throws MathIllegalArgumentException {
        Mean mean = new Mean();
        double result = 0d;
        int length = xArray.length;
        if (length != yArray.length) {
            throw new MathIllegalArgumentException(
                  LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE, length, yArray.length);
        } else if (length < 2) {
            throw new MathIllegalArgumentException(
                  LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE, length, 2);
        } else {
            double xMean = mean.evaluate(xArray);
            double yMean = mean.evaluate(yArray);
            for (int i = 0; i < length; i++) {

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     */
    private void checkSufficientData(final RealMatrix matrix) throws MathIllegalArgumentException {
        int nRows = matrix.getRowDimension();
        int nCols = matrix.getColumnDimension();
        if (nRows < 2 || nCols < 1) {
            throw new MathIllegalArgumentException(
                    LocalizedFormats.INSUFFICIENT_ROWS_AND_COLUMNS,
                    nRows, nCols);
        }
    }

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     * @throws MathIllegalArgumentException if the variablesToInclude array is null or zero length
     * @throws OutOfRangeException if a requested variable is not present in model
     */
    public RegressionResults regress(int[] variablesToInclude) throws MathIllegalArgumentException{
        if( variablesToInclude == null || variablesToInclude.length == 0){
          throw new MathIllegalArgumentException(LocalizedFormats.ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED);
        }
        if( variablesToInclude.length > 2 || (variablesToInclude.length > 1 && !hasIntercept) ){
            throw new ModelSpecificationException(
                    LocalizedFormats.ARRAY_SIZE_EXCEEDS_MAX_VARIABLES,
                    (variablesToInclude.length > 1 && !hasIntercept) ? 1 : 2);

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     * @param upper upper endpoint
     * @param confidence confidence level
     */
    private void checkParameters(double lower, double upper, double confidence) {
        if (lower >= upper) {
            throw new MathIllegalArgumentException(LocalizedFormats.LOWER_BOUND_NOT_BELOW_UPPER_BOUND, lower, upper);
        }
        if (confidence <= 0 || confidence >= 1) {
            throw new MathIllegalArgumentException(LocalizedFormats.OUT_OF_BOUNDS_CONFIDENCE_LEVEL, confidence, 0, 1);
        }
    }

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     * @throws MathIllegalArgumentException if window size is less than 1 but
     * not equal to {@link #INFINITE_WINDOW}
     */
    public void setWindowSize(int windowSize) throws MathIllegalArgumentException {
        if (windowSize < 1 && windowSize != INFINITE_WINDOW) {
            throw new MathIllegalArgumentException(
                    LocalizedFormats.NOT_POSITIVE_WINDOW_SIZE, windowSize);
        }


        this.windowSize = windowSize;

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        try {
            percentileImpl.getClass().getMethod(SET_QUANTILE_METHOD_NAME,
                    new Class[] {Double.TYPE}).invoke(percentileImpl,
                            new Object[] {Double.valueOf(50.0d)});
        } catch (NoSuchMethodException e1) {
            throw new MathIllegalArgumentException(
                  LocalizedFormats.PERCENTILE_IMPLEMENTATION_UNSUPPORTED_METHOD,
                  percentileImpl.getClass().getName(), SET_QUANTILE_METHOD_NAME);
        } catch (IllegalAccessException e2) {
            throw new MathIllegalArgumentException(
                  LocalizedFormats.PERCENTILE_IMPLEMENTATION_CANNOT_ACCESS_METHOD,
                  SET_QUANTILE_METHOD_NAME, percentileImpl.getClass().getName());
        } catch (InvocationTargetException e3) {
            throw new IllegalArgumentException(e3.getCause());
        }

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     */
    public double correlation(final double[] xArray, final double[] yArray) {
        if (xArray.length != yArray.length) {
            throw new DimensionMismatchException(xArray.length, yArray.length);
        } else if (xArray.length < 2) {
            throw new MathIllegalArgumentException(LocalizedFormats.INSUFFICIENT_DIMENSION,
                                                   xArray.length, 2);
        } else {
            double[] x = xArray;
            double[] y = yArray;
            if (rankingAlgorithm instanceof NaturalRanking &&

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    public double correlation(final double[] xArray, final double[] yArray) {
        SimpleRegression regression = new SimpleRegression();
        if (xArray.length != yArray.length) {
            throw new DimensionMismatchException(xArray.length, yArray.length);
        } else if (xArray.length < 2) {
            throw new MathIllegalArgumentException(LocalizedFormats.INSUFFICIENT_DIMENSION,
                                                   xArray.length, 2);
        } else {
            for(int i=0; i<xArray.length; i++) {
                regression.addData(xArray[i], yArray[i]);
            }

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     */
    private void checkSufficientData(final RealMatrix matrix) {
        int nRows = matrix.getRowDimension();
        int nCols = matrix.getColumnDimension();
        if (nRows < 2 || nCols < 2) {
            throw new MathIllegalArgumentException(LocalizedFormats.INSUFFICIENT_ROWS_AND_COLUMNS,
                                                   nRows, nCols);
        }
    }

View Full Code Here

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org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction

org.apache.commons.math3.analysis.function.Sin

org.apache.commons.math3.analysis.function.Sinc

org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator

org.apache.commons.math3.analysis.MultivariateFunction

org.apache.commons.math3.analysis.QuinticFunction

org.apache.commons.math3.analysis.UnivariateFunction

org.apache.commons.math3.complex.Complex

org.apache.commons.math3.complex.ComplexFormat

org.apache.commons.math3.complex.ComplexUtils

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