Example usage for org.apache.commons.math3.analysis UnivariateFunction value

Introduction

In this page you can find the example usage for org.apache.commons.math3.analysis UnivariateFunction value.

Prototype

double value(double x);

Source Link

Document

Compute the value of the function.

Usage

From source file:org.asoem.greyfish.utils.math.PeriodicFunctionsTest.java

@Test
public void testSawtoothWave() throws Exception {
    final UnivariateFunction wave = PeriodicFunctions.sawtoothWave(1.0, 0.0);

    final List<Double> generated = Lists.newArrayList();
    BigDecimal x = BigDecimal.valueOf(-1.0);
    while (x.doubleValue() <= 1.0) {
        final double y = wave.value(x.doubleValue());
        generated.add(y);/*w  ww  . j  av  a  2 s  . c o m*/
        x = x.add(BigDecimal.valueOf(0.1));
    }

    System.out.print(Joiner.on("\n").join(generated));

    final ImmutableList<Double> expected = ImmutableList.of(0.0, 0.2, 0.4, 0.6, 0.8, -1.0, -0.8, -0.6, -0.4,
            -0.2, 0.0, 0.2, 0.4, 0.6, 0.8, -1.0, -0.8, -0.6, -0.4, -0.2, 0.0);
    assertThat(generated, hasSize(expected.size()));
    for (int i = 0; i < generated.size(); i++) {
        assertThat(generated.get(i), is(closeTo(expected.get(i), 0.000000000000001)));
    }
}

---

From source file:org.asoem.greyfish.utils.math.PeriodicFunctionsTest.java

@Test
public void testSquareWave() throws Exception {
    final UnivariateFunction wave = PeriodicFunctions.squareWave(1.0, 0.0);

    final List<Double> generated = Lists.newArrayList();
    BigDecimal x = BigDecimal.valueOf(-1.0);
    while (x.doubleValue() <= 1.0) {
        final double y = wave.value(x.doubleValue());
        generated.add(y);//w  w  w. j a  va  2 s  . c  o  m
        x = x.add(BigDecimal.valueOf(0.1));
    }

    System.out.print(Joiner.on("\n").join(generated));

    final ImmutableList<Double> expected = ImmutableList.of(1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0,
            -1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0);
    assertThat(generated, hasSize(expected.size()));
    for (int i = 0; i < generated.size(); i++) {
        assertThat(generated.get(i), is(closeTo(expected.get(i), 0.000000000000001)));
    }
}

---

From source file:org.grouplens.samantha.modeler.featurizer.LogarithmicExtractor.java

public Map<String, List<Feature>> extract(JsonNode entity, boolean update, IndexSpace indexSpace) {
    Map<String, List<Feature>> feaMap = new HashMap<>();
    if (entity.has(attrName)) {
        List<Feature> feaList = new ArrayList<>();
        double val = entity.get(attrName).asDouble();
        UnivariateFunction log10 = new Log10();
        FeatureExtractorUtilities.getOrSetIndexSpaceToFeaturize(feaList, update, indexSpace, indexName,
                attrName, log10.value(val + 1.0));
        feaMap.put(feaName, feaList);//from w ww  .j a v a2s.  co m
    }
    return feaMap;
}

---

From source file:org.grouplens.samantha.modeler.featurizer.MultiplicativeInteractionExtractor.java

public Map<String, List<Feature>> extract(JsonNode entity, boolean update, IndexSpace indexSpace) {
    Map<String, List<Feature>> feaMap = new HashMap<>();
    double product = 1.0;
    boolean complete = true;
    UnivariateFunction sig = new SelfPlusOneRatioFunction();
    for (String attrName : attrNames) {
        if (entity.has(attrName)) {
            double val = entity.get(attrName).asDouble();
            if (sigmoid) {
                val = sig.value(val);
            }// w  w w.java 2 s.  co  m
            product *= val;
        } else {
            complete = false;
        }
    }
    if (complete) {
        List<Feature> feaList = new ArrayList<>();
        String key = FeatureExtractorUtilities.composeKey(attrNames);
        FeatureExtractorUtilities.getOrSetIndexSpaceToFeaturize(feaList, update, indexSpace, indexName, key,
                product);
        feaMap.put(feaName, feaList);
    }
    return feaMap;
}

---

From source file:org.grouplens.samantha.modeler.featurizer.OuterProductExtractor.java

public Map<String, List<Feature>> extract(JsonNode entity, boolean update, IndexSpace indexSpace) {
    Map<String, List<Feature>> feaMap = new HashMap<>();
    List<Feature> feaList = new ArrayList<>();
    for (String leftName : attrNames) {
        for (String rightName : attrNames) {
            List<String> keyNames = Lists.newArrayList(leftName, rightName);
            String key = FeatureExtractorUtilities.composeKey(keyNames);
            double product;
            if (sigmoid) {
                UnivariateFunction func = new SelfPlusOneRatioFunction();
                product = func.value(entity.get(leftName).asDouble())
                        * func.value(entity.get(rightName).asDouble());
            } else {
                product = entity.get(leftName).asDouble() * entity.get(rightName).asDouble();
            }/*w ww .jav  a2  s  .c  o m*/
            FeatureExtractorUtilities.getOrSetIndexSpaceToFeaturize(feaList, update, indexSpace, indexName, key,
                    product);
            feaMap.put(feaName, feaList);
        }
    }
    return feaMap;
}

---

From source file:org.grouplens.samantha.modeler.featurizer.PairwiseInteractionExtractor.java

public Map<String, List<Feature>> extract(JsonNode entity, boolean update, IndexSpace indexSpace) {
    Map<String, List<Feature>> feaMap = new HashMap<>();
    UnivariateFunction sig = new SelfPlusOneRatioFunction();
    for (int i = 0; i < attrNames.size(); i++) {
        String attrNameLeft = attrNames.get(i);
        for (int j = i + 1; j < attrNames.size(); j++) {
            String attrNameRight = attrNames.get(j);
            if (entity.has(attrNameLeft) && entity.has(attrNameRight)) {
                double valLeft = entity.get(attrNameLeft).asDouble();
                double valRight = entity.get(attrNameRight).asDouble();
                if (sigmoid) {
                    valLeft = sig.value(valLeft);
                    valRight = sig.value(valRight);
                }//from  w ww.jav a2  s .c  o m
                double value = valLeft * valRight;
                List<Feature> feaList = new ArrayList<>();
                String key = FeatureExtractorUtilities.composeKey(attrNameLeft, attrNameRight);
                FeatureExtractorUtilities.getOrSetIndexSpaceToFeaturize(feaList, update, indexSpace, indexName,
                        key, value);
                feaMap.put(attrNameLeft + ":" + attrNameRight, feaList);
            }
        }
    }
    return feaMap;
}

---

From source file:org.libreplan.business.planner.entities.StretchesFunctionTypeEnum.java

private static int evaluate(UnivariateFunction accumulatedFunction, int x) {
    return (int) accumulatedFunction.value(x);
}

---

From source file:org.lightjason.agentspeak.action.buildin.math.interpolate.CInterpolate.java

@Override
public final IFuzzyValue<Boolean> execute(final IContext p_context, final boolean p_parallel,
        final List<ITerm> p_argument, final List<ITerm> p_return, final List<ITerm> p_annotation) {
    final UnivariateFunction l_function = p_argument.get(0).raw();

    CCommon.flatcollection(p_argument.subList(1, p_argument.size())).stream()
            .mapToDouble(i -> i.<Number>raw().doubleValue()).mapToObj(i -> CRawTerm.from(l_function.value(i)))
            .forEach(p_return::add);

    return CFuzzyValue.from(true);
}

---

From source file:org.meteoinfo.math.interpolate.InterpUtil.java

/**
 * Compute the value of the function//from   w  ww  .  j av  a  2s. c o  m
 * @param func The function
 * @param x Input data
 * @return Function value
 */
public static Array evaluate(UnivariateFunction func, Array x) {
    Array r = Array.factory(DataType.DOUBLE, x.getShape());
    for (int i = 0; i < r.getSize(); i++)
        r.setDouble(i, func.value(x.getDouble(i)));

    return r;
}

---

From source file:org.meteoinfo.math.interpolate.InterpUtil.java

/**
 * Compute the value of the function/*from w  ww .j  a  v a2s  . c  om*/
 * @param func The function
 * @param x Input data
 * @return Function value
 */
public static double evaluate(UnivariateFunction func, Number x) {
    return func.value(x.doubleValue());
}

---

• «
• 1
• 2
• 3
• 4
• 5
• »