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Interface Summary | |
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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 | |
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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 | |
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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. |
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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