Uses of Interface
jebl.math.UnivariateFunction
Packages that use UnivariateFunction
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Uses of UnivariateFunction in jebl.math
Classes in jebl.math that implement UnivariateFunctionModifier and TypeClassDescriptionclassconverts a multivariate function into a univariate function by keeping all but one argument constantMethods in jebl.math with parameters of type UnivariateFunctionModifier and TypeMethodDescriptiondoubleUnivariateMinimum.findMinimum(double x, UnivariateFunction f) Find minimum (first estimate given)doubleUnivariateMinimum.findMinimum(double x, UnivariateFunction f, int fracDigits) Find minimum (first estimate given, desired number of fractional digits specified)doubleUnivariateMinimum.findMinimum(UnivariateFunction f) Find minimum (no first estimate given)doubleUnivariateMinimum.findMinimum(UnivariateFunction f, int fracDigits) Find minimum (no first estimate given, desired number of fractional digits specified)static doubleNumericalDerivative.firstDerivative(UnivariateFunction f, double x) determine first derivativedoubleUnivariateMinimum.optimize(double x, UnivariateFunction f, double tol) The actual optimization routine (Brent's golden section method)doubleUnivariateMinimum.optimize(double x, UnivariateFunction f, double tol, double lowerBound, double upperBound) The actual optimization routine (Brent's golden section method)doubleUnivariateMinimum.optimize(UnivariateFunction f, double tol) The actual optimization routine (Brent's golden section method)doubleUnivariateMinimum.optimize(UnivariateFunction f, double tol, double lowerBound, double upperBound) The actual optimization routine (Brent's golden section method)static doubleNumericalDerivative.secondDerivative(UnivariateFunction f, double x) determine second derivative