Package org.apache.commons.math3.exception

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

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        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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     * @throws DimensionMismatchException if the arrays lengths do not match
     * @throws MathIllegalArgumentException if the array length is less than 2
     */
    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;
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      super.sanityChecks(equations, t);

      mainSetDimension = equations.getPrimaryMapper().getDimension();

      if ((vecAbsoluteTolerance != null) && (vecAbsoluteTolerance.length != mainSetDimension)) {
          throw new DimensionMismatchException(mainSetDimension, vecAbsoluteTolerance.length);
      }

      if ((vecRelativeTolerance != null) && (vecRelativeTolerance.length != mainSetDimension)) {
          throw new DimensionMismatchException(mainSetDimension, vecRelativeTolerance.length);
      }

  }
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     * @exception DimensionMismatchException if array does not have 3 elements
     * @see #toArray()
     */
    public FieldVector3D(final T[] v) throws DimensionMismatchException {
        if (v.length != 3) {
            throw new DimensionMismatchException(v.length, 3);
        }
        this.x = v[0];
        this.y = v[1];
        this.z = v[2];
    }
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     */
    public DerivativeStructure(final int parameters, final int order, final double ... derivatives)
        throws DimensionMismatchException, NumberIsTooLargeException {
        this(parameters, order);
        if (derivatives.length != data.length) {
            throw new DimensionMismatchException(derivatives.length, data.length);
        }
        System.arraycopy(derivatives, 0, data, 0, data.length);
    }
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     * in the array is not equal to {@link #getOrder() order} + 1
     */
    public DerivativeStructure compose(final double ... f)
        throws DimensionMismatchException {
        if (f.length != getOrder() + 1) {
            throw new DimensionMismatchException(f.length, getOrder() + 1);
        }
        final DerivativeStructure result = new DerivativeStructure(compiler);
        compiler.compose(data, 0, f, result.data, 0);
        return result;
    }
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    public CorrelatedRandomVectorGenerator(double[] mean,
                                           RealMatrix covariance, double small,
                                           NormalizedRandomGenerator generator) {
        int order = covariance.getRowDimension();
        if (mean.length != order) {
            throw new DimensionMismatchException(mean.length, order);
        }
        this.mean = mean.clone();

        final RectangularCholeskyDecomposition decomposition =
            new RectangularCholeskyDecomposition(covariance, small);
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                throw new SingularMatrixException();
            }

            final int m = realEigenvalues.length;
            if (b.getDimension() != m) {
                throw new DimensionMismatchException(b.getDimension(), m);
            }

            final double[] bp = new double[m];
            for (int i = 0; i < m; ++i) {
                final ArrayRealVector v = eigenvectors[i];
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                throw new SingularMatrixException();
            }

            final int m = realEigenvalues.length;
            if (b.getRowDimension() != m) {
                throw new DimensionMismatchException(b.getRowDimension(), m);
            }

            final int nColB = b.getColumnDimension();
            final double[][] bp = new double[m][nColB];
            final double[] tmpCol = new double[m];
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     * @throws MathIllegalArgumentException if there is insufficient data
     */
    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++) {
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Related Classes of org.apache.commons.math3.exception.DimensionMismatchException

  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  • org.apache.commons.math3.analysis.differentiation.DSCompiler
  • org.apache.commons.math3.analysis.function.Gaussian$Parametric
  • org.apache.commons.math3.analysis.function.HarmonicOscillator$Parametric
  • org.apache.commons.math3.analysis.function.Sigmoid$Parametric
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.function.StepFunction
  • org.apache.commons.math3.analysis.FunctionUtils
  • org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
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