public double Evaluate(double x)
{
if (_fitFunction != null)
{
if (null != _independentVariableTransformation)
{
_x[_independentVariable] = _independentVariableTransformation.Transform(x);
}
else
{
_x[_independentVariable] = x;
}
_fitFunction.Evaluate(_x, _parameter, _y);
if (null != _dependentVariableTransformation)
{
return(_dependentVariableTransformation.Transform(_y[_dependentVariable]));
}
else
{
return(_y[_dependentVariable]);
}
}
else
{
return(double.NaN);
}
}
public double Evaluate(double x)
{
if (_fitFunction != null)
{
_x[_independentVariable] = x;
_fitFunction.Evaluate(_x, _parameter, _y);
return(_y[_dependentVariable]);
}
else
{
return(double.NaN);
}
}
/// <summary>
/// Evaluates the fit function value at value x. Attention! This is out <b>our</b> function value
/// (because we do not display the fit function itself, but the confidence band).
/// </summary>
/// <param name="x">The x value.</param>
/// <param name="parameters">The fit parameters.</param>
/// <returns></returns>
private double EvaluateFitFunctionValue(double x, double[] parameters)
{
_independentVariable[0] = x;
_cachedFitFunction.Evaluate(_independentVariable, parameters, _functionValues);
return(_functionValues[_dependentVariableIndex]);
}