nce.math

Class SolverDataFit

java.lang.Object

nce.math.SolverDataFit

public class SolverDataFit
extends java.lang.Object

Version:

20140131

Author:

Carlo Tegano

Constructor Summary

Constructors

Constructor and Description
SolverDataFit()

Method Summary

Methods

Modifier and Type	Method and Description
int	getMaxIter()
double[]	getModelDataRSE()
double	getModelDataRSE(int i)
double[]	getModelDataY()
double	getModelDataY(int i) Returns the value of a specific point of a data set evaluated by the model
double	getOptParameter(int i) Returns the optimized parameter
double	getRMSE()
void	init(double[] dataX, double[] dataY, double[] params0, boolean[] isActiveParameter, DataFitModel m)
void	init(double[] dataX, double[] dataY, double[] params0, DataFitModel m) Solver initialization
void	optimize() Minimizes the cost function specified by the user the get best fit model parameters
void	printOptReport()
void	setMaxIter(int maxIter)

Methods inherited from class java.lang.Object

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

Constructor Detail

SolverDataFit

public SolverDataFit()

Method Detail

init

public void init(double[] dataX,
        double[] dataY,
        double[] params0,
        DataFitModel m)

Solver initialization

Parameters:

dataX - Experimental abscissa

dataY - Experimental ordinate

params0 - First guess for model parameters and fixed parameters

m - User supplied equation to be fitted

init

public void init(double[] dataX,
        double[] dataY,
        double[] params0,
        boolean[] isActiveParameter,
        DataFitModel m)

optimize

public void optimize()

Minimizes the cost function specified by the user the get best fit model parameters

printOptReport

public void printOptReport()

getOptParameter

public double getOptParameter(int i)

Returns the optimized parameter

Parameters:

i - the index of the required parameter

Returns:

the optimized parameter

getModelDataY

public double getModelDataY(int i)

Returns the value of a specific point of a data set evaluated by the model

Parameters:

i - the index of the point in the data set

Returns:

the y(x) value as evaluated by the fitted model equation

getModelDataY

public double[] getModelDataY()

getModelDataRSE

public double getModelDataRSE(int i)

getModelDataRSE

public double[] getModelDataRSE()

getRMSE

public double getRMSE()

setMaxIter

public void setMaxIter(int maxIter)

getMaxIter

public int getMaxIter()