NumericalDerivative (JEBL2 lib API)

Constructors
Constructor	Description
`NumericalDerivative()`

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static double[]`	`diagonalHessian(MultivariateFunction f, double[] x)`	determine diagonal of Hessian
`static double`	`firstDerivative(UnivariateFunction f, double x)`	determine first derivative
`static double[]`	`gradient(MultivariateFunction f, double[] x)`	determine gradient
`static void`	`gradient(MultivariateFunction f, double[] x, double[] grad)`	determine gradient
`static double`	`secondDerivative(UnivariateFunction f, double x)`	determine second derivative

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

public static double firstDerivative(UnivariateFunction f,
                                     double x)

determine first derivative

public static double secondDerivative(UnivariateFunction f,
                                      double x)

determine second derivative

public static double[] gradient(MultivariateFunction f,
                                double[] x)

determine gradient

public static void gradient(MultivariateFunction f,
                            double[] x,
                            double[] grad)

determine gradient

Parameters:: f - multivariate function; x - argument vector; grad - vector for gradient

Class NumericalDerivative