Package org.apache.commons.math3.exception

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


                final int last = observations.length - 1;
                // Range of the observations, assuming that the
                // observations are sorted.
                final double xRange = observations[last].getX() - observations[0].getX();
                if (xRange == 0) {
                    throw new ZeroException();
                }
                aOmega[1] = 2 * Math.PI / xRange;

                double yMin = Double.POSITIVE_INFINITY;
                double yMax = Double.NEGATIVE_INFINITY;
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        }
        try {
            field = d[0].getField();
            data = d.clone();
        } catch (ArrayIndexOutOfBoundsException e) {
            throw new ZeroException(LocalizedFormats.VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT);
        }
    }
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            throws NullArgumentException, ZeroException {
        if (d == null) {
            throw new NullArgumentException();
        }
        if (d.length == 0) {
            throw new ZeroException(LocalizedFormats.VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT);
        }
        field = d[0].getField();
        data = copyArray ? d.clone() : d;
    }
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            throws NullArgumentException, ZeroException {
        if (v1 == null || v2 == null) {
            throw new NullArgumentException();
        }
        if (v1.length + v2.length == 0) {
            throw new ZeroException(LocalizedFormats.VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT);
        }
        data = buildArray(v1.length + v2.length);
        System.arraycopy(v1, 0, data, 0, v1.length);
        System.arraycopy(v2, 0, data, v1.length, v2.length);
        field = data[0].getField();
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            throws NullArgumentException, ZeroException {
        if (v1 == null || v2 == null) {
            throw new NullArgumentException();
        }
        if (v1.length + v2.length == 0) {
            throw new ZeroException(LocalizedFormats.VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT);
        }
        data = buildArray(v1.length + v2.length);
        System.arraycopy(v1, 0, data, 0, v1.length);
        System.arraycopy(v2, 0, data, v1.length, v2.length);
        this.field = field;
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        throws NoDataException, NullArgumentException, ZeroException {
        if (data == null) {
            throw new NullArgumentException();
        }
        if (data.length == 0) {
            throw new ZeroException(LocalizedFormats.VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT);
        }
        return new ArrayFieldVector<T>(data[0].getField(), data, true);
    }
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      List<SiteWithPolynomial> nearestSites =
          nearestSiteMap.get(site);
     
      RealVector vector = new ArrayRealVector(SITES_FOR_APPROX);
      RealMatrix matrix = new Array2DRowRealMatrix(
          SITES_FOR_APPROX, DefaultPolynomial.NUM_COEFFS);
     
      for (int row = 0; row < SITES_FOR_APPROX; row++) {
        SiteWithPolynomial nearSite = nearestSites.get(row);
        DefaultPolynomial.populateMatrix(matrix, row, nearSite.pos.x, nearSite.pos.z);
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     * @param residuals Residuals.
     * @return the cost.
     * @see #computeResiduals(double[])
     */
    protected double computeCost(double[] residuals) {
        final ArrayRealVector r = new ArrayRealVector(residuals);
        return FastMath.sqrt(r.dotProduct(getWeight().operate(r)));
    }
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    for (SiteWithPolynomial site : sites) {
     
      List<SiteWithPolynomial> nearestSites =
          nearestSiteMap.get(site);
     
      RealVector vector = new ArrayRealVector(SITES_FOR_APPROX);
      RealMatrix matrix = new Array2DRowRealMatrix(
          SITES_FOR_APPROX, DefaultPolynomial.NUM_COEFFS);
     
      for (int row = 0; row < SITES_FOR_APPROX; row++) {
        SiteWithPolynomial nearSite = nearestSites.get(row);
        DefaultPolynomial.populateMatrix(matrix, row, nearSite.pos.x, nearSite.pos.z);
        vector.setEntry(row, nearSite.pos.y);
      }
     
      QRDecomposition qr = new QRDecomposition(matrix);
      RealVector solution = qr.getSolver().solve(vector);
       
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        // Compute transpose(J)J.
        final RealMatrix jTj = j.transpose().multiply(j);

        // Compute the covariances matrix.
        final DecompositionSolver solver
            = new QRDecomposition(jTj, threshold).getSolver();
        return solver.getInverse().getData();
    }
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