org.ddogleg.optimization

Class CallCounterNtoM

java.lang.Object

org.ddogleg.optimization.CallCounterNtoM

All Implemented Interfaces:

FunctionNtoM

public class CallCounterNtoM
extends java.lang.Object
implements FunctionNtoM

Wraps around a function and counts the number of times it processes an input.

Field Summary

Fields

Modifier and Type	Field and Description
int	count
FunctionNtoM	func

Constructor Summary

Constructors

Constructor and Description
CallCounterNtoM(FunctionNtoM func)

Method Summary

Modifier and Type	Method and Description
int	getNumOfInputsN() Number of input elements.
int	getNumOfOutputsM() Number of output elements.
void	process(double[] input, double[] output) Processes the input to compute the values found in the output array.

Methods inherited from class java.lang.Object

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

Field Detail

count

public int count

func

public FunctionNtoM func

Constructor Detail

CallCounterNtoM

public CallCounterNtoM(FunctionNtoM func)

Method Detail

getNumOfInputsN

public int getNumOfInputsN()

Description copied from interface: FunctionNtoM

Number of input elements. Typically the parameters you are optimizing.

Specified by:

getNumOfInputsN in interface FunctionNtoM

Returns:

number of input elements

getNumOfOutputsM

public int getNumOfOutputsM()

Description copied from interface: FunctionNtoM

Number of output elements. Typically the functions that are being optimized.

Specified by:

getNumOfOutputsM in interface FunctionNtoM

Returns:

number of output elements

process

public void process(double[] input,
                    double[] output)

Description copied from interface: FunctionNtoM

Processes the input to compute the values found in the output array. The output's meaning depends on the application. For least-squares it is the residual error. See UnconstrainedLeastSquares.

The user can modify the input parameters here and the optimizer must use those changes.

Specified by:

process in interface FunctionNtoM

Parameters:

input - Parameters for input model.

output - Storage for the output give the model.