edu.jhu.bme.smile.commons.optimize
Class MinToMaxNDDifferentiable

java.lang.Object
  edu.jhu.bme.smile.commons.optimize.MinToMaxNDDifferentiable

All Implemented Interfaces:

OptimizableNDContinuous, OptimizableNDContinuousDifferentiable

public class MinToMaxNDDifferentiable
extends java.lang.Object
implements OptimizableNDContinuousDifferentiable

Finds the maximum of Differentiable ND functions by negating the function and finding the minimum.

Author:

Hanlin Wam

Constructor Summary

MinToMaxNDDifferentiable(OptimizableNDContinuousDifferentiable func)
Constructor to create the negated function

Method Summary

double[][]	get2ndDerivative(double[] x) Gets the negated hessian
double	get2ndDerivative(double[] x, int dim1, int dim2) Gets the negated second derivative in a specific direction
double[]	getDerivative(double[] x) Gets the negated gradient
double[]	getDomainMax() Gets the domain maximum
double[]	getDomainMin() Gets the domain minimum
double	getDomainTolerance() Gets the tolerance
int	getNumberOfDimensions() Gets the number of dimensions
double	getValue(double[] x) Gets the negated value

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MinToMaxNDDifferentiable

public MinToMaxNDDifferentiable(OptimizableNDContinuousDifferentiable func)

Constructor to create the negated function

Parameters:

func - function to negate

Method Detail

get2ndDerivative

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

Gets the negated hessian

Specified by:

get2ndDerivative in interface OptimizableNDContinuousDifferentiable

Parameters:

x - location to calculate derivative

Returns:

the negated hessian

get2ndDerivative

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

Gets the negated second derivative in a specific direction

Specified by:

get2ndDerivative in interface OptimizableNDContinuousDifferentiable

Parameters:

x - location to calculate derivative

dim1 - dimension to take the first derivative

dim2 - dimension to take the second derivative

Returns:

the negated second derivative in the specified direction

getDerivative

public double[] getDerivative(double[] x)

Gets the negated gradient

Specified by:

getDerivative in interface OptimizableNDContinuousDifferentiable

Parameters:

x - location to calculate derivative

Returns:

the negated gradient

getDomainMax

public double[] getDomainMax()

Gets the domain maximum

Specified by:

getDomainMax in interface OptimizableNDContinuous

Returns:

domain max

getDomainMin

public double[] getDomainMin()

Gets the domain minimum

Specified by:

getDomainMin in interface OptimizableNDContinuous

Returns:

domain min

getDomainTolerance

public double getDomainTolerance()

Gets the tolerance

Specified by:

getDomainTolerance in interface OptimizableNDContinuous

Returns:

tolerance

getValue

public double getValue(double[] x)

Gets the negated value

Specified by:

getValue in interface OptimizableNDContinuous

Parameters:

x - location to get value at

Returns:

negated value at location x

getNumberOfDimensions

public int getNumberOfDimensions()

Gets the number of dimensions

Specified by:

getNumberOfDimensions in interface OptimizableNDContinuous

Returns:

number of dimensions