Package com.irurueta.numerical.fitting

Interface LevenbergMarquardtSingleDimensionFunctionEvaluator

public interface LevenbergMarquardtSingleDimensionFunctionEvaluator

Interface to evaluate non-linear single dimensional functions. Evaluation of functions requires both function value at provided point x and function gradient respect to its parameters (i.e. derivatives respect to its parameters)

Method Summary

Modifier and Type	Method	Description
double[]	createInitialParametersArray()	Creates array where estimated parameters will be stored.
double	evaluate(int i, double point, double[] params, double[] derivatives)	Evaluates a non-linear single dimension function at provided point using provided parameters and returns its evaluation and derivatives of the function respect the function parameters

Method Details

createInitialParametersArray

double[] createInitialParametersArray()

Creates array where estimated parameters will be stored. This array MUST contain the initial guessed solution for the Levenberg- Marquardt algorithm

Returns:

array where estimated parameters will be stored

evaluate

double evaluate(int i,
 double point,
 double[] params,
 double[] derivatives)
         throws EvaluationException

Evaluates a non-linear single dimension function at provided point using provided parameters and returns its evaluation and derivatives of the function respect the function parameters

Parameters:

i - number of sample being evaluated

point - point where function is evaluated

params - initial parameters estimation to be tried. These will change as the Levenberg-Marquard algorithm iterates to the best solution. These are used as input parameters along with point to evaluate function

derivatives - partial derivatives of the function respect to each provided parameter

Returns:

function evaluation at provided point and using provided parameters

Throws:

EvaluationException - raised if something failed during the evaluation