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## Package de.jstacs.algorithms.optimization

Provides classes for different types of algorithms that are not directly linked to the modelling components of Jstacs: Algorithms on graphs, algorithms for numerical optimization, and a basic alignment algorithm. See:
Description

Interface Summary
Function | This interface is the framework for any mathematical function `f: R^n -> R`.
StartDistanceForecaster | This interface is used to determine the next start distance that will be used in a line search.

Class Summary
ConstantStartDistance | The most simple `StartDistanceForecaster` that returns always the same value.
DifferentiableFunction | This class is the framework for any (at least) one time differentiable function .
LimitedMedianStartDistance | This class implements a `StartDistanceForecaster` that uses the median of a limited memory over the last values.
NegativeDifferentiableFunction | The negative function `-f` for a given `DifferentiableFunction` `f`.
NegativeFunction | The negative function -f for a given `Function` `f`.
NegativeOneDimensionalFunction | This class extends the class `OneDimensionalFunction`.
NumericalDifferentiableFunction | This class is the framework for any numerical differentiable function `f: R^n -> R`.
OneDimensionalFunction | This class implements the interface `Function` for an one-dimensional function.
OneDimensionalSubFunction | This class is used to do the line search.
Optimizer | This class can be used for optimization purposes.
QuadraticFunction | This class implements a quadratic function.

Exception Summary
DimensionException | This class is for `Exception`s depending on wrong dimensions of vectors for a given function.
EvaluationException | This class indicates that there was a problem to evaluate a function or the gradient of the function.
TerminationException | This class is for an `Exception` that is thrown if something with a termination was not correct.

## Package de.jstacs.algorithms.optimization Description

Provides classes for different types of algorithms that are not directly linked to the modelling components of Jstacs: Algorithms on graphs, algorithms for numerical optimization, and a basic alignment algorithm.

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