Package org.apache.commons.math

Examples of org.apache.commons.math.DimensionMismatchException

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     * @throws DimensionMismatchException if dimension != k
     */
    private void checkDimension(int dimension)
      throws DimensionMismatchException {
        if (dimension != k) {
            throw new DimensionMismatchException(dimension, k);
        }
    }
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     * @param v vector to add
     * @exception DimensionMismatchException if the vector does not have the right dimension
     */
    public void increment(double[] v) throws DimensionMismatchException {
        if (v.length != means.length) {
            throw new DimensionMismatchException(v.length, means.length);
        }
        for (int i = 0; i < v.length; ++i) {
            means[i].increment(v[i]);
        }
    }
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     * @param v vector to add
     * @exception DimensionMismatchException if the vector does not have the right dimension
     */
    public void increment(double[] v) throws DimensionMismatchException {
        if (v.length != sums.length) {
            throw new DimensionMismatchException(v.length, sums.length);
        }
        int k = 0;
        for (int i = 0; i < v.length; ++i) {
            sums[i] += v[i];
            for (int j = 0; j <= i; ++j) {
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        if (xLen == 0 || yLen == 0 || f.length == 0 || f[0].length == 0) {
            throw new NoDataException();
        }
        if (xLen != f.length) {
            throw new DimensionMismatchException(xLen, f.length);
        }
        if (xLen != dFdX.length) {
            throw new DimensionMismatchException(xLen, dFdX.length);
        }
        if (xLen != dFdY.length) {
            throw new DimensionMismatchException(xLen, dFdY.length);
        }
        if (xLen != d2FdXdY.length) {
            throw new DimensionMismatchException(xLen, d2FdXdY.length);
        }

        MathUtils.checkOrder(x);
        MathUtils.checkOrder(y);

        xval = x.clone();
        yval = y.clone();

        final int lastI = xLen - 1;
        final int lastJ = yLen - 1;
        splines = new BicubicSplineFunction[lastI][lastJ];

        for (int i = 0; i < lastI; i++) {
            if (f[i].length != yLen) {
                throw new DimensionMismatchException(f[i].length, yLen);
            }
            if (dFdX[i].length != yLen) {
                throw new DimensionMismatchException(dFdX[i].length, yLen);
            }
            if (dFdY[i].length != yLen) {
                throw new DimensionMismatchException(dFdY[i].length, yLen);
            }
            if (d2FdXdY[i].length != yLen) {
                throw new DimensionMismatchException(d2FdXdY[i].length, yLen);
            }
            final int ip1 = i + 1;
            for (int j = 0; j < lastJ; j++) {
                final int jp1 = j + 1;
                final double[] beta = new double[] {
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        if (xval.length == 0 || xval[0] == null) {
            throw new NoDataException();
        }

        if (xval.length != yval.length) {
            throw new DimensionMismatchException(xval.length, yval.length);
        }

        dimension = xval[0].length;
        this.brightnessExponent = brightnessExponent;

        // Copy data samples.
        samples = new HashMap<RealVector, Double>(yval.length);
        for (int i = 0; i < xval.length; ++i) {
            final double[] xvalI = xval[i];
            if ( xvalI.length != dimension) {
                throw new DimensionMismatchException(xvalI.length, dimension);
            }

            samples.put(new ArrayRealVector(xvalI), yval[i]);
        }
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        throws MathException, IllegalArgumentException {
        if (xval.length == 0 || yval.length == 0 || fval.length == 0) {
            throw new NoDataException();
        }
        if (xval.length != fval.length) {
            throw new DimensionMismatchException(xval.length, fval.length);
        }

        MathUtils.checkOrder(xval);
        MathUtils.checkOrder(yval);

        final int xLen = xval.length;
        final int yLen = yval.length;

        // Samples (first index is y-coordinate, i.e. subarray variable is x)
        // 0 <= i < xval.length
        // 0 <= j < yval.length
        // fX[j][i] = f(xval[i], yval[j])
        final double[][] fX = new double[yLen][xLen];
        for (int i = 0; i < xLen; i++) {
            if (fval[i].length != yLen) {
                throw new DimensionMismatchException(fval[i].length, yLen);
            }

            for (int j = 0; j < yLen; j++) {
                fX[j][i] = fval[i][j];
            }
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        throws MathException, IllegalArgumentException {
        if (xval.length == 0 || yval.length == 0 || zval.length == 0) {
            throw MathRuntimeException.createIllegalArgumentException(LocalizedFormats.NO_DATA);
        }
        if (xval.length != zval.length) {
            throw new DimensionMismatchException(xval.length, zval.length);
        }

        MathUtils.checkOrder(xval, OrderDirection.INCREASING, true);
        MathUtils.checkOrder(yval, OrderDirection.INCREASING, true);

        final int xLen = xval.length;
        final int yLen = yval.length;

        // Samples (first index is y-coordinate, i.e. subarray variable is x)
        // 0 <= i < xval.length
        // 0 <= j < yval.length
        // zX[j][i] = f(xval[i], yval[j])
        final double[][] zX = new double[yLen][xLen];
        for (int i = 0; i < xLen; i++) {
            if (zval[i].length != yLen) {
                throw new DimensionMismatchException(zval[i].length, yLen);
            }

            for (int j = 0; j < yLen; j++) {
                zX[j][i] = zval[i][j];
            }
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                                           NormalizedRandomGenerator generator)
    throws NotPositiveDefiniteMatrixException, DimensionMismatchException {

        int order = covariance.getRowDimension();
        if (mean.length != order) {
            throw new DimensionMismatchException(mean.length, order);
        }
        this.mean = mean.clone();

        decompose(covariance, small);
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                                           NormalizedRandomGenerator generator)
    throws NotPositiveDefiniteMatrixException, DimensionMismatchException {

        int order = covariance.getRowDimension();
        if (mean.length != order) {
            throw new DimensionMismatchException(mean.length, order);
        }
        this.mean = mean.clone();

        decompose(covariance, small);
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     * @throws DimensionMismatchException if dimension != k
     */
    private void checkDimension(int dimension)
      throws DimensionMismatchException {
        if (dimension != k) {
            throw new DimensionMismatchException(dimension, k);
        }
    }
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Related Classes of org.apache.commons.math.DimensionMismatchException

  • org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
  • org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolator
  • org.apache.commons.math.analysis.interpolation.MicrosphereInterpolatingFunction
  • org.apache.commons.math.analysis.interpolation.SmoothingBicubicSplineInterpolator
  • org.apache.commons.math.random.CorrelatedRandomVectorGenerator
  • org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
  • org.apache.commons.math.stat.descriptive.moment.VectorialMean
  • org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
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