public LevenbergMarquardt(functionDelegate regressionFunction, Parameter[] regressionParameters, Parameter[] observedParameters, double[,] data, int numberOfDerivativePoints)
{
Debug.Assert(data.GetLength(0) == observedParameters.Length + 1);
_data = data;
_observedParameters = observedParameters;
_regressionParameters = regressionParameters;
_regressionFunction = regressionFunction;
int numberOfParameters = _regressionParameters.Length;
int numberOfPoints = data.GetLength(1);
_derivatives = new Derivatives(numberOfDerivativePoints);
_jacobian = new Matrix(numberOfPoints, numberOfParameters);
_residuals = new Matrix(numberOfPoints, 1);
_regressionParameters0 = new Matrix(numberOfParameters, 1);
}
public LevenbergMarquardt(functionDelegate regressionFunction, Parameter[] regressionParameters, Parameter[] observedParameters, double[,] data, int numberOfDerivativePoints)
{
Debug.Assert(data.GetLength(0) == observedParameters.Length + 1);
_data = data;
_observedParameters = observedParameters;
_regressionParameters = regressionParameters;
_regressionFunction = regressionFunction;
int numberOfParameters = _regressionParameters.Length;
int numberOfPoints = data.GetLength(1);
_derivatives = new Derivatives(numberOfDerivativePoints);
_jacobian = new Matrix(numberOfPoints, numberOfParameters);
_residuals = new Matrix(numberOfPoints, 1);
_regressionParameters0 = new Matrix(numberOfParameters, 1);
}
