Uses of Interface
jebl.math.UnivariateFunction

Packages that use UnivariateFunction

jebl.math

Uses of UnivariateFunction in jebl.math

Classes in jebl.math that implement UnivariateFunction

class

OrthogonalLineFunction converts a multivariate function into a univariate function by keeping all but one argument constant

Methods in jebl.math with parameters of type UnivariateFunction

double	UnivariateMinimum.findMinimum(double x, UnivariateFunction f) Find minimum (first estimate given)
double	UnivariateMinimum.findMinimum(double x, UnivariateFunction f, int fracDigits) Find minimum (first estimate given, desired number of fractional digits specified)
double	UnivariateMinimum.findMinimum(UnivariateFunction f) Find minimum (no first estimate given)
double	UnivariateMinimum.findMinimum(UnivariateFunction f, int fracDigits) Find minimum (no first estimate given, desired number of fractional digits specified)
static double	NumericalDerivative.firstDerivative(UnivariateFunction f, double x) determine first derivative
double	UnivariateMinimum.optimize(double x, UnivariateFunction f, double tol) The actual optimization routine (Brent's golden section method)
double	UnivariateMinimum.optimize(double x, UnivariateFunction f, double tol, double lowerBound, double upperBound) The actual optimization routine (Brent's golden section method)
double	UnivariateMinimum.optimize(UnivariateFunction f, double tol) The actual optimization routine (Brent's golden section method)
double	UnivariateMinimum.optimize(UnivariateFunction f, double tol, double lowerBound, double upperBound) The actual optimization routine (Brent's golden section method)
static double	NumericalDerivative.secondDerivative(UnivariateFunction f, double x) determine second derivative