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## Package de.jstacs.algorithms.optimization.termination

Provides classes for termination conditions that can be used in algorithms

See:
Description

Interface Summary
TerminationCondition | This interface can be used in any iterative algorithm for determining the end of the algorithm.

Class Summary
AbsoluteValueCondition | Deprecated. use of the absolute value condition is not recommended and it may be removed in future releases
AbsoluteValueCondition.AbsoluteValueConditionParameterSet | This class implements the parameter set for a `AbsoluteValueCondition`.
AbstractTerminationCondition | This class is the abstract super class of many `TerminationCondition`s.
AbstractTerminationCondition.AbstractTerminationConditionParameterSet | This class implements the super class of all parameter sets of instances from `AbstractTerminationCondition`.
CombinedCondition | This class allows to use many `TerminationCondition`s at once.
CombinedCondition.CombinedConditionParameterSet | This class implements the parameter set for a `CombinedCondition`.
IterationCondition | This class will stop an optimization if the number of iteration reaches a given number.
IterationCondition.IterationConditionParameterSet | This class implements the parameter set for a `IterationCondition`.
SmallDifferenceOfFunctionEvaluationsCondition | This class implements a `TerminationCondition` that stops an optimization if the difference of the current and the last function evaluations will be small, i.e., .
SmallDifferenceOfFunctionEvaluationsCondition.SmallDifferenceOfFunctionEvaluationsConditionParameterSet | This class implements the parameter set for a `SmallDifferenceOfFunctionEvaluationsCondition`.
SmallGradientConditon | This class implements a `TerminationCondition` that allows no further iteration in an optimization if the the gradient becomes small, i.e., .
SmallGradientConditon.SmallGradientConditonParameterSet | This class implements the parameter set for a `SmallStepCondition`.
SmallStepCondition | This class implements a `TerminationCondition` that allows no further iteration in an optimization if the scalar product of the current and the last values of `x` will be small, i.e., .
SmallStepCondition.SmallStepConditionParameterSet | This class implements the parameter set for a `SmallStepCondition`.
TimeCondition | This class implements a `TerminationCondition` that stops the optimization if the elapsed time in seconds is greater than a given value.
TimeCondition.TimeConditionParameterSet | This class implements the parameter set for a `TimeCondition`.

## Package de.jstacs.algorithms.optimization.termination Description

Provides classes for termination conditions that can be used in algorithms.

See Also:
  `Optimizer`, `AbstractMixtureTrainSM`, `HigherOrderHMM`

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