Example usage for org.apache.commons.math3.optimization.univariate UnivariatePointValuePair getPoint

Introduction

In this page you can find the example usage for org.apache.commons.math3.optimization.univariate UnivariatePointValuePair getPoint.

Prototype

public double getPoint() 

Source Link

Document

Get the point.

Usage

From source file:com.itemanalysis.psychometrics.kernel.LikelihoodCrossValidation.java

public double value() {
    BrentOptimizer brent = new BrentOptimizer(1e-10, 1e-14);
    UnivariatePointValuePair result;
    result = brent.optimize(400, this, GoalType.MAXIMIZE, 0.001, max);
    return result.getPoint();
}

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From source file:com.itemanalysis.psychometrics.polycor.PolychoricTwoStepOLD.java

/**
 * Compute the two-step approximation to the polychoric correlation.
 *
 * @param data two way array of frequency counts
 *///from   www .j a v a2  s  . c  o m
public void compute(double[][] data) {
    loglik = new PolychoricLogLikelihoodTwoStep(data);
    BrentOptimizer brent = new BrentOptimizer(1e-10, 1e-14);
    UnivariatePointValuePair result = brent.optimize(200, loglik, GoalType.MINIMIZE, -1.0, 1.0);
    rhoComputed = true;
    rho = result.getPoint();
}

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From source file:com.itemanalysis.psychometrics.kernel.LeastSquaresCrossValidation.java

public double value() {
    BrentOptimizer brent = new BrentOptimizer(1e-10, 1e-14);
    UnivariatePointValuePair pair;
    try {/*from  ww w.j a  va2s  .c om*/
        pair = brent.optimize(400, this, GoalType.MINIMIZE, 0.01, sd);
    } catch (Exception ex) {
        return Double.NaN;
    }
    return pair.getPoint();
}

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From source file:edu.byu.nlp.math.optimize.UnivariateNewtonRaphson.java

/** {@inheritDoc} */
@Override/*from w w  w  .j  av a  2 s.  c om*/
public UnivariatePointValuePair optimize(int maxEval, DifferentiableUnivariateFunction f, GoalType goalType,
        double initial, double arg4) {
    Preconditions.checkArgument(maxEval > 0);
    Preconditions.checkNotNull(f);
    Preconditions.checkNotNull(goalType);
    Preconditions.checkNotNull(initial);

    // FIXME : goalType is being ignored!

    Updater updater = Updater.newUpdater(f);

    UnivariatePointValuePair prev = null;
    UnivariatePointValuePair next = updater.update(initial);
    logger.info(String.format("Iteration 0, value = %f", next.getValue()));

    evaluations = 1;
    do {
        prev = next;
        double x = prev.getPoint();
        next = updater.update(x);
        ++evaluations;
        logger.info(String.format("Iteration %d, value = %f", evaluations, next.getValue()));
    } while (!convergenceChecker.converged(evaluations, prev, next) && evaluations < maxEval
            && evaluations < maxEvaluations);

    return next;
}

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