Package org.apache.commons.math3.exception

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

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        public ParameterGuesser(Collection<WeightedObservedPoint> observations) {
            if (observations == null) {
                throw new NullArgumentException(LocalizedFormats.INPUT_ARRAY);
            }
            if (observations.size() < 3) {
                throw new NumberIsTooSmallException(observations.size(), 3, true);
            }

            final List<WeightedObservedPoint> sorted = sortObservations(observations);
            final double[] params = basicGuess(sorted.toArray(new WeightedObservedPoint[0]));
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        }

        int bandwidthInPoints = (int) (bandwidth * n);

        if (bandwidthInPoints < 2) {
            throw new NumberIsTooSmallException(LocalizedFormats.BANDWIDTH,
                                                bandwidthInPoints, 2, true);
        }

        final double[] res = new double[n];

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         * @throws MathIllegalStateException when the guessing procedure cannot
         * produce sensible results.
         */
        public ParameterGuesser(Collection<WeightedObservedPoint> observations) {
            if (observations.size() < 4) {
                throw new NumberIsTooSmallException(LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE,
                                                    observations.size(), 4, true);
            }

            final WeightedObservedPoint[] sorted
                = sortObservations(observations).toArray(new WeightedObservedPoint[0]);
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        if (xvals.length != yvals.length) {
            throw new DimensionMismatchException(xvals.length, yvals.length);
        }

        if (xvals.length < MINIMUM_NUMBER_POINTS) {
            throw new NumberIsTooSmallException(
                                                LocalizedFormats.NUMBER_OF_POINTS,
                                                xvals.length,
                                                MINIMUM_NUMBER_POINTS, true);
        }
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                                                 firstDerivatives.length);
        }

        final int minimumLength = 2;
        if (xvals.length < minimumLength) {
            throw new NumberIsTooSmallException(
                                                LocalizedFormats.NUMBER_OF_POINTS,
                                                xvals.length, minimumLength,
                                                true);
        }
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        int n = sample1.length;
        if (n != sample2.length) {
            throw new DimensionMismatchException(n, sample2.length);
        }
        if (n < 2) {
            throw new NumberIsTooSmallException(n, 2, true);
        }
        for (int i = 0; i < n; i++) {
            diff = sample1[i] - sample2[i];
            sum1 += (diff - meanDifference) *(diff - meanDifference);
            sum2 += diff - meanDifference;
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        if (x.length != y.length) {
            throw new DimensionMismatchException(x.length, y.length);
        }

        if (x.length < 3) {
            throw new NumberIsTooSmallException(LocalizedFormats.NUMBER_OF_POINTS,
                                                x.length, 3, true);
        }

        // Number of intervals.  The number of data points is n + 1.
        final int n = x.length - 1;
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        throws NumberIsTooSmallException {

        super(name, minStep, maxStep, scalAbsoluteTolerance, scalRelativeTolerance);

        if (nSteps < 2) {
            throw new NumberIsTooSmallException(
                  LocalizedFormats.INTEGRATION_METHOD_NEEDS_AT_LEAST_TWO_PREVIOUS_POINTS,
                  nSteps, 2, true);
        }

        starter = new DormandPrince853Integrator(minStep, maxStep,
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        public ParameterGuesser(WeightedObservedPoint[] observations) {
            if (observations == null) {
                throw new NullArgumentException(LocalizedFormats.INPUT_ARRAY);
            }
            if (observations.length < 3) {
                throw new NumberIsTooSmallException(observations.length, 3, true);
            }

            final WeightedObservedPoint[] sorted = sortObservations(observations);
            final double[] params = basicGuess(sorted);
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        if (x.length != y.length) {
            throw new DimensionMismatchException(x.length, y.length);
        }

        if (x.length < 2) {
            throw new NumberIsTooSmallException(LocalizedFormats.NUMBER_OF_POINTS,
                                                x.length, 2, true);
        }

        // Number of intervals.  The number of data points is n + 1.
        int n = x.length - 1;
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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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