Uses of Interface
math.function.DiffMultivariateFunction

Packages that use DiffMultivariateFunction

Package	Description
math.function
math.optim

Uses of DiffMultivariateFunction in math.function

Classes in math.function that implement DiffMultivariateFunction

Modifier and Type	Class and Description
class	NumericallyDiffMultivariateFunction Finite difference numerical gradient calculation using the forward difference approximation f'(x) = (f(x + h) - f(x)) / h.

Uses of DiffMultivariateFunction in math.optim

Methods in math.optim with parameters of type DiffMultivariateFunction

Modifier and Type	Method and Description
static MultivariateFunctionResult	CGOptimizer.maximize(DiffMultivariateFunction function, double[] initial)
static MultivariateFunctionResult	CGOptimizer.maximize(DiffMultivariateFunction function, double functionTolerance, double[] initial)
static MultivariateFunctionResult	CGOptimizer.maximize(DiffMultivariateFunction function, double functionTolerance, double[] initial, int maxIterations)
static MultivariateFunctionResult	CGOptimizer.maximize(DiffMultivariateFunction function, double functionTolerance, double[] initial, int maxIterations, boolean silent)
static MultivariateFunctionResult	CGOptimizer.minimize(DiffMultivariateFunction function, double[] initial)
static MultivariateFunctionResult	CGOptimizer.minimize(DiffMultivariateFunction function, double functionTolerance, double[] initial)
static MultivariateFunctionResult	CGOptimizer.minimize(DiffMultivariateFunction function, double functionTolerance, double[] initial, int maxIterations)
static MultivariateFunctionResult	CGOptimizer.minimize(DiffMultivariateFunction function, double functionTolerance, double[] initial, int maxIterations, boolean silent)