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## Uses of Class
de.jstacs.algorithms.optimization.OneDimensionalFunction

Packages that use OneDimensionalFunction
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.

Uses of OneDimensionalFunction in de.jstacs.algorithms.optimization

Subclasses of OneDimensionalFunction in de.jstacs.algorithms.optimization
`class` | `NegativeOneDimensionalFunction` This class extends the class `OneDimensionalFunction`.
`class` | `OneDimensionalSubFunction` This class is used to do the line search.
`class` | `QuadraticFunction` This class implements a quadratic function.

Methods in de.jstacs.algorithms.optimization with parameters of type OneDimensionalFunction
`static double[]` | `Optimizer.brentsMethod(OneDimensionalFunction f, double a, double x, double b, double tol)` Approximates a minimum (not necessary the global) in the interval `[lower,upper]`.
`static double[]` | `Optimizer.brentsMethod(OneDimensionalFunction f, double a, double x, double fx, double b, double tol)` Approximates a minimum (not necessary the global) in the interval `[lower,upper]`.
`static double[]` | `Optimizer.findBracket(OneDimensionalFunction f, double lower, double startDistance)` This method returns a bracket containing a minimum.
`static double[]` | `Optimizer.findBracket(OneDimensionalFunction f, double lower, double fLower, double startDistance)` This method returns a bracket containing a minimum.
`static double[]` | `Optimizer.goldenRatio(OneDimensionalFunction f, double lower, double upper, double eps)` Approximates a minimum (not necessary the global) in the interval `[lower,upper]`.
`static double[]` | `Optimizer.goldenRatio(OneDimensionalFunction f, double lower, double p1, double fP1, double upper, double eps)` Approximates a minimum (not necessary the global) in the interval `[lower,upper]`.
`static double[]` | `Optimizer.parabolicInterpolation(OneDimensionalFunction f, double lower, double p1, double upper, double eps)` Approximates a minimum (not necessary the global) in the interval `[lower,upper]`.
`static double[]` | `Optimizer.parabolicInterpolation(OneDimensionalFunction f, double lower, double fLower, double p1, double fP1, double upper, double fUpper, double eps)` Approximates a minimum (not necessary the global) in the interval `[lower,upper]`.

Constructors in de.jstacs.algorithms.optimization with parameters of type OneDimensionalFunction
`NegativeOneDimensionalFunction(OneDimensionalFunction f)` Creates the `OneDimensionalFunction` `f` for which `-f` should be calculated.

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