public class PowellOptimizer extends BaseAbstractMultivariateOptimizer<MultivariateFunction> implements MultivariateOptimizer
optimize.py
v0.5 of
SciPy).
evaluations
Constructor and Description |
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PowellOptimizer(double rel,
double abs)
The parameters control the default convergence checking procedure, and
the line search tolerances.
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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.
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Modifier and Type | Method and Description |
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protected PointValuePair |
doOptimize()
Perform the bulk of the optimization algorithm.
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computeObjectiveValue, getConvergenceChecker, getEvaluations, getGoalType, getMaxEvaluations, getStartPoint, optimize
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
optimize
getConvergenceChecker, getEvaluations, getMaxEvaluations
public 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>
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