Examples of org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat

Package org.apache.commons.math3.geometry.euclidean.threed

Examples of org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat

org.apache.commons.math3.linear.ArrayRealVector
Formats a 3D vector in components list format "{x; y; z}".
The prefix and suffix "{" and "}" and the separator "; " can be replaced by any user-defined strings. The number format for components can be configured.

White space is ignored at parse time, even if it is in the prefix, suffix or separator specifications. So even if the default separator does include a space character that is used at format time, both input string "{1;1;1}" and " { 1 ; 1 ; 1 } " will be parsed without error and the same vector will be returned. In the second case, however, the parse position after parsing will be just after the closing curly brace, i.e. just before the trailing space.

Note: using "," as a separator may interfere with the grouping separator of the default {@link NumberFormat} for the current locale. Thus it is advisedto use a {@link NumberFormat} instance with disabled grouping in such a case.


    protected Vector3DFormatAbstractTest() {
        vector3DFormat = Vector3DFormat.getInstance(getLocale());
        final NumberFormat nf = NumberFormat.getInstance(getLocale());
        nf.setMaximumFractionDigits(2);
        vector3DFormatSquare = new Vector3DFormat("[", "]", " : ", nf);
    }

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        String expected =
            "{232"    + getDecimalCharacter() +
            "22; -342" + getDecimalCharacter() +
            "33; 432" + getDecimalCharacter() +
            "44}";
        String actual = (new Vector3DFormat()).format(c);
        Assert.assertEquals(expected, actual);


        Locale.setDefault(defaultLocal);
    }

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    }


    @Test
    public void testConstructorSingleFormat() {
        NumberFormat nf = NumberFormat.getInstance();
        Vector3DFormat cf = new Vector3DFormat(nf);
        Assert.assertNotNull(cf);
        Assert.assertEquals(nf, cf.getFormat());
    }

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    }


    @Test
    public void testForgottenPrefix() {
        ParsePosition pos = new ParsePosition(0);
        Assert.assertNull(new Vector3DFormat().parse("1; 1; 1}", pos));
        Assert.assertEquals(0, pos.getErrorIndex());
    }

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    }


    @Test
    public void testForgottenSeparator() {
        ParsePosition pos = new ParsePosition(0);
        Assert.assertNull(new Vector3DFormat().parse("{1; 1 1}", pos));
        Assert.assertEquals(6, pos.getErrorIndex());
    }

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    }


    @Test
    public void testForgottenSuffix() {
        ParsePosition pos = new ParsePosition(0);
        Assert.assertNull(new Vector3DFormat().parse("{1; 1; 1 ", pos));
        Assert.assertEquals(8, pos.getErrorIndex());
    }

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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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        }


        // solve the rectangular system in the least square sense
        // to get the best estimate of the Nordsieck vector [s2 ... sk]
        QRDecomposition decomposition;
        decomposition = new QRDecomposition(new Array2DRowRealMatrix(a, false));
        RealMatrix x = decomposition.getSolver().solve(new Array2DRowRealMatrix(b, false));
        return new Array2DRowRealMatrix(x.getData(), false);
    }

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            // update Nordsieck vector
            final double[] predictedScaled = new double[y0.length];
            for (int j = 0; j < y0.length; ++j) {
                predictedScaled[j] = stepSize * yDot[j];
            }
            final Array2DRowRealMatrix nordsieckTmp = updateHighOrderDerivativesPhase1(nordsieck);
            updateHighOrderDerivativesPhase2(scaled, predictedScaled, nordsieckTmp);
            interpolator.reinitialize(stepEnd, stepSize, predictedScaled, nordsieckTmp);


            // discrete events handling
            interpolator.storeTime(stepEnd);

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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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org.apache.commons.math3.analysis.differentiation.DerivativeStructure

org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction

org.apache.commons.math3.analysis.function.HarmonicOscillator

org.apache.commons.math3.analysis.function.Sin

org.apache.commons.math3.analysis.function.Sinc

org.apache.commons.math3.analysis.MultivariateFunction

org.apache.commons.math3.analysis.QuinticFunction

org.apache.commons.math3.analysis.solvers.BrentSolver

org.apache.commons.math3.analysis.UnivariateFunction

org.apache.commons.math3.complex.Complex

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