Example usage for org.apache.commons.math.optimization.univariate BrentOptimizer setAbsoluteAccuracy

Introduction

In this page you can find the example usage for org.apache.commons.math.optimization.univariate BrentOptimizer setAbsoluteAccuracy.

Prototype

public void setAbsoluteAccuracy(double accuracy) 

Source Link

Usage

From source file:OughtaFocus.java

private double runAutofocusAlgorithm() throws Exception {
    UnivariateRealFunction scoreFun = new UnivariateRealFunction() {
        public double value(double d) throws FunctionEvaluationException {
            try {
                return measureFocusScore(d);
            } catch (Exception e) {
                throw new FunctionEvaluationException(e, d);
            }// w  ww  .ja va2 s .  co  m
        }
    };
    BrentOptimizer brentOptimizer = new BrentOptimizer();
    brentOptimizer.setAbsoluteAccuracy(tolerance);
    imageCount_ = 0;

    CMMCore core = app_.getMMCore();
    double z = core.getPosition(core.getFocusDevice());
    startZUm_ = z;
    //      getCurrentFocusScore();
    double zResult = brentOptimizer.optimize(scoreFun, GoalType.MAXIMIZE, z - searchRange / 2,
            z + searchRange / 2);
    ReportingUtils.logMessage("OughtaFocus Iterations: " + brentOptimizer.getIterationCount() + ", z="
            + TextUtils.FMT2.format(zResult) + ", dz=" + TextUtils.FMT2.format(zResult - startZUm_) + ", t="
            + (System.currentTimeMillis() - startTimeMs_));
    return zResult;
}

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From source file:org.renjin.primitives.optimize.Optimizations.java

/**
 * Searches the interval from lower to upper for a minimum or maximum of the
 * function f with respect to its first argument.
 *
 * <p>This implementation uses the BrentOptimizer from Apache Commons Math, which
 * is the same reference used by the original R:
 *
 * <p>/*from  w  w w .  ja  v  a2 s .co  m*/
 * Brent, R. (1973) Algorithms for Minimization without Derivatives. Englewood Cliffs N.J.: Prentice-Hall.
 */
public static double fmin(@Current Context context, @Current Environment rho, Function fn, double lower,
        double upper, double tol) {

    BrentOptimizer optimizer = new BrentOptimizer();
    optimizer.setAbsoluteAccuracy(tol);
    try {
        return optimizer.optimize(new UnivariateRealClosure(context, rho, fn), GoalType.MINIMIZE, lower, upper);
    } catch (MaxIterationsExceededException e) {
        throw new EvalException("maximum iterations reached", e);
    } catch (FunctionEvaluationException e) {
        throw new EvalException(e);
    }
}

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From source file:org.renjin.stats.internals.optimize.Optimizations.java

/**
 * Searches the interval from lower to upper for a minimum or maximum of the
 * function f with respect to its first argument.
 *
 * <p>This implementation uses the BrentOptimizer from Apache Commons Math, which
 * is the same reference used by the original R:
 *
 * <p>//  w  w  w  .j a  v a 2 s.com
 * Brent, R. (1973) Algorithms for Minimization without Derivatives. Englewood Cliffs N.J.: Prentice-Hall.
 */
@Internal
public static double fmin(@Current Context context, @Current Environment rho, Function fn, double lower,
        double upper, double tol) {

    BrentOptimizer optimizer = new BrentOptimizer();
    optimizer.setAbsoluteAccuracy(tol);
    try {
        return optimizer.optimize(new UnivariateRealClosure(context, rho, fn), GoalType.MINIMIZE, lower, upper);
    } catch (MaxIterationsExceededException e) {
        throw new EvalException("maximum iterations reached", e);
    } catch (FunctionEvaluationException e) {
        throw new EvalException(e);
    }
}

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