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Commons Math example source code file (HarmonicFitterTest.java)

This example Commons Math source code file (HarmonicFitterTest.java) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Java - Commons Math tags/keywords

harmonicfitter, harmonicfitter, harmonicfittertest, harmonicfunction, harmonicfunction, levenbergmarquardtoptimizer, optimizationexception, random, random, test, test, util

The Commons Math HarmonicFitterTest.java source code

// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.

package org.apache.commons.math.optimization.fitting;

import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;

import java.util.Random;

import org.apache.commons.math.optimization.OptimizationException;
import org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer;
import org.apache.commons.math.util.MathUtils;
import org.junit.Test;

public class HarmonicFitterTest {

    @Test
    public void testNoError() throws OptimizationException {
        HarmonicFunction f = new HarmonicFunction(0.2, 3.4, 4.1);

        HarmonicFitter fitter =
            new HarmonicFitter(new LevenbergMarquardtOptimizer());
        for (double x = 0.0; x < 1.3; x += 0.01) {
            fitter.addObservedPoint(1.0, x, f.value(x));
        }

        HarmonicFunction fitted = fitter.fit();
        assertEquals(f.getAmplitude(), fitted.getAmplitude(), 1.0e-13);
        assertEquals(f.getPulsation(), fitted.getPulsation(), 1.0e-13);
        assertEquals(f.getPhase(),     MathUtils.normalizeAngle(fitted.getPhase(), f.getPhase()), 1.0e-13);

        for (double x = -1.0; x < 1.0; x += 0.01) {
            assertTrue(Math.abs(f.value(x) - fitted.value(x)) < 1.0e-13);
        }

    }

    @Test
    public void test1PercentError() throws OptimizationException {
        Random randomizer = new Random(64925784252l);
        HarmonicFunction f = new HarmonicFunction(0.2, 3.4, 4.1);

        HarmonicFitter fitter =
            new HarmonicFitter(new LevenbergMarquardtOptimizer());
        for (double x = 0.0; x < 10.0; x += 0.1) {
            fitter.addObservedPoint(1.0, x,
                                   f.value(x) + 0.01 * randomizer.nextGaussian());
        }

        HarmonicFunction fitted = fitter.fit();
        assertEquals(f.getAmplitude(), fitted.getAmplitude(), 7.6e-4);
        assertEquals(f.getPulsation(), fitted.getPulsation(), 2.7e-3);
        assertEquals(f.getPhase(),     MathUtils.normalizeAngle(fitted.getPhase(), f.getPhase()), 1.3e-2);

    }

    @Test
    public void testInitialGuess() throws OptimizationException {
        Random randomizer = new Random(45314242l);
        HarmonicFunction f = new HarmonicFunction(0.2, 3.4, 4.1);

        HarmonicFitter fitter =
            new HarmonicFitter(new LevenbergMarquardtOptimizer(), new double[] { 0.15, 3.6, 4.5 });
        for (double x = 0.0; x < 10.0; x += 0.1) {
            fitter.addObservedPoint(1.0, x,
                                   f.value(x) + 0.01 * randomizer.nextGaussian());
        }

        HarmonicFunction fitted = fitter.fit();
        assertEquals(f.getAmplitude(), fitted.getAmplitude(), 1.2e-3);
        assertEquals(f.getPulsation(), fitted.getPulsation(), 3.3e-3);
        assertEquals(f.getPhase(),     MathUtils.normalizeAngle(fitted.getPhase(), f.getPhase()), 1.7e-2);

    }

    @Test
    public void testUnsorted() throws OptimizationException {
        Random randomizer = new Random(64925784252l);
        HarmonicFunction f = new HarmonicFunction(0.2, 3.4, 4.1);

        HarmonicFitter fitter =
            new HarmonicFitter(new LevenbergMarquardtOptimizer());

        // build a regularly spaced array of measurements
        int size = 100;
        double[] xTab = new double[size];
        double[] yTab = new double[size];
        for (int i = 0; i < size; ++i) {
            xTab[i] = 0.1 * i;
            yTab[i] = f.value(xTab[i]) + 0.01 * randomizer.nextGaussian();
        }

        // shake it
        for (int i = 0; i < size; ++i) {
            int i1 = randomizer.nextInt(size);
            int i2 = randomizer.nextInt(size);
            double xTmp = xTab[i1];
            double yTmp = yTab[i1];
            xTab[i1] = xTab[i2];
            yTab[i1] = yTab[i2];
            xTab[i2] = xTmp;
            yTab[i2] = yTmp;
        }

        // pass it to the fitter
        for (int i = 0; i < size; ++i) {
            fitter.addObservedPoint(1.0, xTab[i], yTab[i]);
        }

        HarmonicFunction fitted = fitter.fit();
        assertEquals(f.getAmplitude(), fitted.getAmplitude(), 7.6e-4);
        assertEquals(f.getPulsation(), fitted.getPulsation(), 3.5e-3);
        assertEquals(f.getPhase(),     MathUtils.normalizeAngle(fitted.getPhase(), f.getPhase()), 1.5e-2);

    }

}

Other Commons Math examples (source code examples)

Here is a short list of links related to this Commons Math HarmonicFitterTest.java source code file:

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