Package org.apache.commons.math3.exception

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

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                                       final int startColumn, final int endColumn)
        throws NumberIsTooSmallException, OutOfRangeException {
        checkRowIndex(startRow);
        checkRowIndex(endRow);
        if (endRow < startRow) {
            throw new NumberIsTooSmallException(LocalizedFormats.INITIAL_ROW_AFTER_FINAL_ROW,
                                                endRow, startRow, true);
        }

        checkColumnIndex(startColumn);
        checkColumnIndex(endColumn);
        if (endColumn < startColumn) {
            throw new NumberIsTooSmallException(LocalizedFormats.INITIAL_COLUMN_AFTER_FINAL_COLUMN,
                                                endColumn, startColumn, true);
        }
    }
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     */
    protected void checkContractExpand(double contraction,
                                       double expansion)
        throws NumberIsTooSmallException {
        if (contraction < expansion) {
            final NumberIsTooSmallException e = new NumberIsTooSmallException(contraction, 1, true);
            e.getContext().addMessage(LocalizedFormats.CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR,
                                      contraction, expansion);
            throw e;
        }

        if (contraction <= 1) {
            final NumberIsTooSmallException e = new NumberIsTooSmallException(contraction, 1, false);
            e.getContext().addMessage(LocalizedFormats.CONTRACTION_CRITERIA_SMALLER_THAN_ONE,
                                      contraction);
            throw e;
        }

        if (expansion <= 1) {
            final NumberIsTooSmallException e = new NumberIsTooSmallException(contraction, 1, false);
            e.getContext().addMessage(LocalizedFormats.EXPANSION_FACTOR_SMALLER_THAN_ONE,
                                      expansion);
            throw e;
        }
    }
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    NeuronString(boolean wrap,
                 double[][] featuresList) {
        size = featuresList.length;

        if (size < 2) {
            throw new NumberIsTooSmallException(size, 2, true);
        }

        this.wrap = wrap;

        final int fLen = featuresList[0].length;
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     */
    public NeuronString(int num,
                        boolean wrap,
                        FeatureInitializer[] featureInit) {
        if (num < 2) {
            throw new NumberIsTooSmallException(num, 2, true);
        }

        size = num;
        this.wrap = wrap;
        identifiers = new long[num];
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                       double[][][] featuresList) {
        numberOfRows = featuresList.length;
        numberOfColumns = featuresList[0].length;

        if (numberOfRows < 2) {
            throw new NumberIsTooSmallException(numberOfRows, 2, true);
        }
        if (numberOfColumns < 2) {
            throw new NumberIsTooSmallException(numberOfColumns, 2, true);
        }

        wrapRows = wrapRowDim;
        wrapColumns = wrapColDim;
        neighbourhood = neighbourhoodType;
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                              int numCols,
                              boolean wrapColDim,
                              SquareNeighbourhood neighbourhoodType,
                              FeatureInitializer[] featureInit) {
        if (numRows < 2) {
            throw new NumberIsTooSmallException(numRows, 2, true);
        }
        if (numCols < 2) {
            throw new NumberIsTooSmallException(numCols, 2, true);
        }

        numberOfRows = numRows;
        wrapRows = wrapRowDim;
        numberOfColumns = numCols;
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        final double lower = -1.0;
        final double upper = +1.0;
        UnivariateFunction f = new UnivariateFunction() {           
            public double value(double x) {
                if (x < lower) {
                    throw new NumberIsTooSmallException(x, lower, true);
                } else if (x > upper) {
                    throw new NumberIsTooLargeException(x, upper, true);
                } else {
                    return x;
                }
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        final double lower = -1.0;
        final double upper = +1.0;
        UnivariateFunction f = new UnivariateFunction() {           
            public double value(double x) {
                if (x < lower) {
                    throw new NumberIsTooSmallException(x, lower, true);
                } else if (x > upper) {
                    throw new NumberIsTooLargeException(x, upper, true);
                } else {
                    return x;
                }
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     * @param maxGenerations number of generations to evolve
     * @throws NumberIsTooSmallException if the number of generations is &lt; 1
     */
    public FixedGenerationCount(final int maxGenerations) {
        if (maxGenerations <= 0) {
            throw new NumberIsTooSmallException(maxGenerations, 1, true);
        }
        this.maxGenerations = maxGenerations;
    }
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                           double abs,
                           ConvergenceChecker<PointValuePair> checker) {
        super(checker);

        if (rel < MIN_RELATIVE_TOLERANCE) {
            throw new NumberIsTooSmallException(rel, MIN_RELATIVE_TOLERANCE, true);
        }
        if (abs <= 0) {
            throw new NotStrictlyPositiveException(abs);
        }
        relativeThreshold = rel;
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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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