org.ddogleg.optimization

Class CallCounterNtoMxN

java.lang.Object

org.ddogleg.optimization.CallCounterNtoMxN

All Implemented Interfaces:

FunctionNtoMxN

public class CallCounterNtoMxN
extends java.lang.Object
implements FunctionNtoMxN

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
FunctionNtoMxN	func

Constructor Summary

Constructors

Constructor and Description
CallCounterNtoMxN(FunctionNtoMxN func)

Method Summary

Modifier and Type	Method and Description
int	getNumOfInputsN() Number of input parameters and columns in output matrix.
int	getNumOfOutputsM() Number of rows in output matrix.
void	process(double[] input, double[] output) Processes the input vector to output a 2D a matrix.

Methods inherited from class java.lang.Object

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

Field Detail

count

public int count

func

public FunctionNtoMxN func

Constructor Detail

CallCounterNtoMxN

public CallCounterNtoMxN(FunctionNtoMxN func)

Method Detail

getNumOfInputsN

public int getNumOfInputsN()

Description copied from interface: FunctionNtoMxN

Number of input parameters and columns in output matrix. Typically the parameters you are optimizing.

Specified by:

getNumOfInputsN in interface FunctionNtoMxN

Returns:

Number of input parameters

getNumOfOutputsM

public int getNumOfOutputsM()

Description copied from interface: FunctionNtoMxN

Number of rows in output matrix. Typically the functions that are being optimized.

Specified by:

getNumOfOutputsM in interface FunctionNtoMxN

Returns:

Number of rows in output matrix.

process

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

Description copied from interface: FunctionNtoMxN

Processes the input vector to output a 2D a matrix. The matrix has a dimension of M rows and N columns and is formatted as a row major 1D-array. EJML can be used to provide a matrix wrapper around the output array: DenseMatrix J = DenseMatrix.wrap(m,n,output);

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

Specified by:

process in interface FunctionNtoMxN

Parameters:

input - Vector with input parameters.

output - Row major array with M rows and N columns.