Package org.apache.commons.math3.exception

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

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     * @throws NumberIsTooSmallException if the number of observations
     * is < 2
     */
    public double getResult() throws NumberIsTooSmallException {
        if (n < 2) {
            throw new NumberIsTooSmallException(LocalizedFormats.INSUFFICIENT_DIMENSION,
                                                n, 2, true);
        }
        if (biasCorrected) {
            return covarianceNumerator / (n - 1d);
        } else {
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            throw new NumberIsTooLargeException(
                            LocalizedFormats.LOWER_BOUND_NOT_BELOW_UPPER_BOUND,
                            a, b, false);
        }
        if (c < a) {
            throw new NumberIsTooSmallException(
                    LocalizedFormats.NUMBER_TOO_SMALL, c, a, true);
        }
        if (c > b) {
            throw new NumberIsTooLargeException(
                    LocalizedFormats.NUMBER_TOO_LARGE, c, b, true);
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                          double abs,
                          ConvergenceChecker<UnivariatePointValuePair> checker) {
        super(checker);

        if (rel < MIN_RELATIVE_TOLERANCE) {
            throw new NumberIsTooSmallException(rel, MIN_RELATIVE_TOLERANCE, true);
        }
        if (abs <= 0) {
            throw new NotStrictlyPositiveException(abs);
        }
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         * @throws MathIllegalStateException when the guessing procedure cannot
         * produce sensible results.
         */
        public ParameterGuesser(WeightedObservedPoint[] observations) {
            if (observations.length < 4) {
                throw new NumberIsTooSmallException(LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE,
                                                    observations.length, 4, true);
            }

            final WeightedObservedPoint[] sorted = sortObservations(observations);

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     */
    public UnivariateFunction interpolate(double[] xval,
                                          double[] yval)
        throws NumberIsTooSmallException, NonMonotonicSequenceException {
        if (xval.length < extend) {
            throw new NumberIsTooSmallException(xval.length, extend, true);
        }

        MathArrays.checkOrder(xval);
        final double offset = xval[0];

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        throws DimensionMismatchException, NumberIsTooSmallException, NonMonotonicSequenceException {
        if (x.length != y.length) {
            throw new DimensionMismatchException(x.length, y.length);
        }
        if (x.length < 2) {
            throw new NumberIsTooSmallException(LocalizedFormats.WRONG_NUMBER_OF_POINTS, 2, x.length, true);
        }

        return MathArrays.checkOrder(x, MathArrays.OrderDirection.INCREASING, true, abort);
    }
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     */
    public NakagamiDistribution(RandomGenerator rng, double mu, double omega, double inverseAbsoluteAccuracy) {
        super(rng);

        if (mu < 0.5) {
            throw new NumberIsTooSmallException(mu, 0.5, true);
        }
        if (omega <= 0) {
            throw new NotStrictlyPositiveException(LocalizedFormats.NOT_POSITIVE_SCALE, omega);
        }

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    public FiniteDifferencesDifferentiator(final int nbPoints, final double stepSize,
                                           final double tLower, final double tUpper)
            throws NotPositiveException, NumberIsTooSmallException, NumberIsTooLargeException {

        if (nbPoints <= 1) {
            throw new NumberIsTooSmallException(stepSize, 1, false);
        }
        this.nbPoints = nbPoints;

        if (stepSize <= 0) {
            throw new NotPositiveException(stepSize);
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        // sanity checks
        MathUtils.checkNotNull(points);

        // number of clusters has to be smaller or equal the number of data points
        if (points.size() < k) {
            throw new NumberIsTooSmallException(points.size(), k, false);
        }

        // create the initial clusters
        List<Cluster<T>> clusters = chooseInitialCenters(points, k, random);
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        recomputeZ();
        if (x < 0 || x > 1) {
            return Double.NEGATIVE_INFINITY;
        } else if (x == 0) {
            if (alpha < 1) {
                throw new NumberIsTooSmallException(LocalizedFormats.CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA, alpha, 1, false);
            }
            return Double.NEGATIVE_INFINITY;
        } else if (x == 1) {
            if (beta < 1) {
                throw new NumberIsTooSmallException(LocalizedFormats.CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA, beta, 1, false);
            }
            return Double.NEGATIVE_INFINITY;
        } else {
            double logX = FastMath.log(x);
            double log1mX = FastMath.log1p(-x);
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Related Classes of org.apache.commons.math3.exception.NumberIsTooSmallException

  • org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
  • org.apache.commons.math3.analysis.interpolation.AkimaSplineInterpolator
  • org.apache.commons.math3.analysis.interpolation.LinearInterpolator
  • org.apache.commons.math3.analysis.interpolation.LoessInterpolator
  • org.apache.commons.math3.analysis.interpolation.SplineInterpolator
  • org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
  • org.apache.commons.math3.analysis.MultivariateFunction
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