/**
* @param updateFormula formula to use for updating the β parameter, must be one of {@link
* Formula#FLETCHER_REEVES} or {@link Formula#POLAK_RIBIERE}.
* @param checker Convergence checker.
* @param lineSearchSolver Solver to use during line search.
* @param preconditioner Preconditioner.
* @deprecated as of 3.3. Please use {@link
* #NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double,Preconditioner)}
* instead.
*/
@Deprecated
public NonLinearConjugateGradientOptimizer(
final Formula updateFormula,
ConvergenceChecker<PointValuePair> checker,
final UnivariateSolver lineSearchSolver,
final Preconditioner preconditioner) {
this(
updateFormula,
checker,
lineSearchSolver.getRelativeAccuracy(),
lineSearchSolver.getAbsoluteAccuracy(),
lineSearchSolver.getAbsoluteAccuracy(),
preconditioner);
}
/**
* Finds the x value corresponding to the maximum function value within the range of the provided
* data set.
*
* @param type one of the Fitter.FunctionType predefined functions
* @param parms parameters describing the function. These need to match the selected function or
* an IllegalArgumentEception will be thrown
* @param data JFreeChart series, used to bracket the range in which the maximum will be found
* @return x value corresponding to the maximum function value
*/
public static double getXofMaxY(XYSeries data, FunctionType type, double[] parms) {
double xAtMax = 0.0;
double minX = data.getMinX();
double maxX = data.getMaxX();
switch (type) {
case NoFit:
// find the position in data with the highest y value
double highestScore = data.getY(0).doubleValue();
int highestIndex = 0;
for (int i = 1; i < data.getItemCount(); i++) {
double newVal = data.getY(i).doubleValue();
if (newVal > highestScore) {
highestScore = newVal;
highestIndex = i;
}
}
return data.getX(highestIndex).doubleValue();
case Pol1:
case Pol2:
case Pol3:
checkParms(type, parms);
PolynomialFunction derivativePolFunction =
(new PolynomialFunction(parms)).polynomialDerivative();
final double relativeAccuracy = 1.0e-12;
final double absoluteAccuracy = 1.0e-8;
final int maxOrder = 5;
UnivariateSolver solver =
new BracketingNthOrderBrentSolver(relativeAccuracy, absoluteAccuracy, maxOrder);
xAtMax = solver.solve(100, derivativePolFunction, minX, maxX);
break;
case Gaussian:
// for a Gaussian we can take the mean and be sure it is the maximum
// note that this may be outside our range of X values, but
// this will be caught by our sanity checks below
xAtMax = parms[1];
}
// sanity checks
if (xAtMax > maxX) xAtMax = maxX;
if (xAtMax < minX) xAtMax = minX;
return xAtMax;
}
