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.