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

Introduction

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

Prototype

double value(double[] point);

Source Link

Document

Compute the value for the function at the given point.

Usage

From source file:eu.crisis_economics.abm.algorithms.optimization.BrentLineSearch.java

static public LineSearchResult doLineSearch(final MultivariateFunction function, final double[] startingPoint,
        final double[] vectorDirection, final double[] domainMaxima, final double[] domainMinima) {
    final double maximumDistanceToTravel = computeMaximumSearchDistanceFromDomainBounds(startingPoint,
            vectorDirection, domainMaxima, domainMinima);
    if (maximumDistanceToTravel == 0.)
        return new LineSearchResult(Arrays.copyOf(startingPoint, startingPoint.length),
                function.value(startingPoint));
    return doLineSearch(function, startingPoint, vectorDirection, maximumDistanceToTravel,
            DEFAULT_MAXIMUM_EVALUATIONS, DEFAULT_ERROR_TARGET_RELATIVE, DEFAULT_ERROR_TARGET_ABSOLUTE);
}

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From source file:com.insightml.math.optimization.AbstractOptimizable.java

@Override
public final Triple<double[], Double, Double> max(final MultivariateFunction test, final double[] initial) {
    Check.size(initial, 1, 999);//from   ww w  . j  a  v  a2  s .  c  o m
    final double initialTrain = value(initial);
    final double initialTest = test == null ? Double.NEGATIVE_INFINITY : test.value(initial);
    PointValuePair result = new PointValuePair(initial, initialTrain);
    Triple<double[], Double, Double> bestTrain = Triple.create(initial, initialTrain, initialTest);
    Triple<double[], Double, Double> bestTest = Triple.create(initial, initialTrain, initialTest);

    while (true) {
        result = iteration(result);
        if (result.getSecond() < bestTrain.getSecond() + convergence.getAbsoluteThreshold()) {
            log("RESULT", result);
            break;
        }
        final double testScore = test == null ? 0 : test.value(result.getFirst());
        bestTrain = Triple.create(result.getFirst(), result.getSecond(), testScore);
        if (test != null && testScore > bestTest.getThird()) {
            bestTest = bestTrain;
        }
        // todo: prevent doing NM twice
        if (bounds == null) {
            break;
        }
    }

    if (test == null) {
        return bestTrain;
    }
    final double improveTrain = bestTrain.getSecond() - bestTest.getSecond();
    final double improveTest = bestTest.getThird() - bestTrain.getThird();
    if (improveTest > improveTrain) {
        logger.info(bestTrain + " vs. " + bestTest);
    }
    return improveTest > improveTrain ? bestTest : bestTrain;
}

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From source file:org.moeaframework.analysis.sensitivity.SobolAnalysisTest.java

/**
 * Evaluates the given function on each input entry, returning the array of
 * outputs./*from   w  w w  .java2  s.  co m*/
 * 
 * @param function the function
 * @param input the array of inputs, where the outer index references each
 *        set of input to the function
 * @return the array of outputs
 * @throws FunctionEvaluationException if an error occurred when evaluating
 *         the function
 */
protected double[] evaluate(MultivariateFunction function, double[][] input) {
    double[] output = new double[input.length];

    for (int i = 0; i < input.length; i++) {
        output[i] = function.value(input[i]);
    }

    return output;
}

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