edu.jhu.bme.smile.commons.optimize
Interface OptimizableNDContinuousDifferentiable

All Superinterfaces:

OptimizableNDContinuous

All Known Implementing Classes:

FunctionNegativeXSquaredND, FunctionNumericNDDifferentiation, FunctionRosenbrock, FunctionXSquaredND, FunctionXXplusSinXXND, FunctionXXYYND, MinToMaxNDDifferentiable

public interface OptimizableNDContinuousDifferentiable
extends OptimizableNDContinuous

Interface for Differentiable ND functions. It extends the OptimizableNDContinuous interface.

Author:

Yufeng Guo, Hanlin Wan

Method Summary

double[][]	get2ndDerivative(double[] x) Gets the hessian of the function.
double	get2ndDerivative(double[] x, int dim1, int dim2) Gets the second derivative of the function in a specific direction
double[]	getDerivative(double[] x) Gets the gradient of the function.

Methods inherited from interface edu.jhu.bme.smile.commons.optimize.OptimizableNDContinuous

getDomainMax, getDomainMin, getDomainTolerance, getNumberOfDimensions, getValue

Method Detail

getDerivative

double[] getDerivative(double[] x)

Gets the gradient of the function.

Parameters:

x - location to calculate derivatives

Returns:

gradient evaluated at x

get2ndDerivative

double[][] get2ndDerivative(double[] x)

Gets the hessian of the function.

Parameters:

x - location to calculate derivatives

Returns:

hessian evaluated at x

get2ndDerivative

double get2ndDerivative(double[] x,
                        int dim1,
                        int dim2)

Gets the second derivative of the function in a specific direction

Parameters:

x - location to calculate derivative

dim1 - dimension to take the first derivative in

dim2 - dimension to take the second derivative in

Returns:

2nd derivative evaluated at x in the specified direction