org.apache.commons.math3.optim
Class BaseOptimizer<PAIR>
- java.lang.Object
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- org.apache.commons.math3.optim.BaseOptimizer<PAIR>
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- Type Parameters:
PAIR- Type of the point/value pair returned by the optimization algorithm.
- Direct Known Subclasses:
- BaseMultivariateOptimizer, UnivariateOptimizer
public abstract class BaseOptimizer<PAIR> extends java.lang.ObjectBase class for implementing optimizers. It contains the boiler-plate code for counting the number of evaluations of the objective function and the number of iterations of the algorithm, and storing the convergence checker. It is not a "user" class.- Since:
- 3.1
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description ConvergenceChecker<PAIR>getConvergenceChecker()Gets the convergence checker.intgetEvaluations()Gets the number of evaluations of the objective function.intgetIterations()Gets the number of iterations performed by the algorithm.intgetMaxEvaluations()Gets the maximal number of function evaluations.intgetMaxIterations()Gets the maximal number of iterations.PAIRoptimize()Performs the optimization.PAIRoptimize(OptimizationData... optData)Stores data and performs the optimization.
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Method Detail
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getMaxEvaluations
public int getMaxEvaluations()
Gets the maximal number of function evaluations.- Returns:
- the maximal number of function evaluations.
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getEvaluations
public int getEvaluations()
Gets the number of evaluations of the objective function. The number of evaluations corresponds to the last call to theoptimizemethod. It is 0 if the method has not been called yet.- Returns:
- the number of evaluations of the objective function.
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getMaxIterations
public int getMaxIterations()
Gets the maximal number of iterations.- Returns:
- the maximal number of iterations.
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getIterations
public int getIterations()
Gets the number of iterations performed by the algorithm. The number iterations corresponds to the last call to theoptimizemethod. It is 0 if the method has not been called yet.- Returns:
- the number of evaluations of the objective function.
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getConvergenceChecker
public ConvergenceChecker<PAIR> getConvergenceChecker()
Gets the convergence checker.- Returns:
- the object used to check for convergence.
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optimize
public PAIR optimize(OptimizationData... optData) throws TooManyEvaluationsException, TooManyIterationsException
Stores data and performs the optimization.The list of parameters is open-ended so that sub-classes can extend it with arguments specific to their concrete implementations.
When the method is called multiple times, instance data is overwritten only when actually present in the list of arguments: when not specified, data set in a previous call is retained (and thus is optional in subsequent calls).
Important note: Subclasses must override
parseOptimizationData(OptimizationData[])if they need to register their own options; but then, they must also callsuper.parseOptimizationData(optData)within that method.- Parameters:
optData- Optimization data. This method will register the following data:- Returns:
- a point/value pair that satisfies the convergence criteria.
- Throws:
TooManyEvaluationsException- if the maximal number of evaluations is exceeded.TooManyIterationsException- if the maximal number of iterations is exceeded.
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optimize
public PAIR optimize() throws TooManyEvaluationsException, TooManyIterationsException
Performs the optimization.- Returns:
- a point/value pair that satisfies the convergence criteria.
- Throws:
TooManyEvaluationsException- if the maximal number of evaluations is exceeded.TooManyIterationsException- if the maximal number of iterations is exceeded.
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