public class PowellOptimizer extends BaseAbstractMultivariateOptimizer<MultivariateFunction> implements MultivariateOptimizer
optimize.py v0.5 of
SciPy).
evaluations| Constructor and Description |
|---|
PowellOptimizer(double rel,
double abs)
The parameters control the default convergence checking procedure, and
the line search tolerances.
|
PowellOptimizer(double rel,
double abs,
ConvergenceChecker<PointValuePair> checker)
This constructor allows to specify a user-defined convergence checker,
in addition to the parameters that control the default convergence
checking procedure and the line search tolerances.
|
| Modifier and Type | Method and Description |
|---|---|
protected PointValuePair |
doOptimize()
Perform the bulk of the optimization algorithm.
|
computeObjectiveValue, getConvergenceChecker, getEvaluations, getGoalType, getMaxEvaluations, getStartPoint, optimizeclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitoptimizegetConvergenceChecker, getEvaluations, getMaxEvaluationspublic PowellOptimizer(double rel,
double abs,
ConvergenceChecker<PointValuePair> checker)
rel - Relative threshold.abs - Absolute threshold.checker - Convergence checker.NotStrictlyPositiveException - if abs <= 0.NumberIsTooSmallException - if rel < 2 * Math.ulp(1d).public PowellOptimizer(double rel,
double abs)
rel - Relative threshold.abs - Absolute threshold.NotStrictlyPositiveException - if abs <= 0.NumberIsTooSmallException - if rel < 2 * Math.ulp(1d).protected PointValuePair doOptimize()
doOptimize in class BaseAbstractMultivariateOptimizer<MultivariateFunction>Copyright © 2003-2012 The Apache Software Foundation. All Rights Reserved.