Altaxo.Calc.Regression Namespace

	Class	Description
	BurgAlgorithm	Implements Burg's algorithm with real numbers.
	BurgAlgorithmComplex	Implements Burg's algorithm with complex numbers.
	BurgAlgorithmVos	A faster algorithm than BurgAlgorithm, if the number of coefficients is less than 1/3 the length of the signal. This algorithm is based on a paper by Koen Vos, 2013.
	DynamicParameterEstimation	Algorithms to estimate the parameters of a dynamic difference equation.
	DynamicParameterEstimationCombXY	Dynamic parameter estimation with comb like spaced x and y input.
	DynamicParameterEstimationVariableX	Dynamic parameter estimation with variable spaced x input.
	DynamicParameterEstimationWithChooseableBins
	LinearFitBySvd	Performs a linear fit to a given function base using singular value decomposition.
	NLFit	Functions for nonlinear minimization.
	NonLinearFit2	Levenberg - Marquard methods adapted to C# from C++ sources from Manolis Lourakis (see below).
	QuickLinearRegression	Class for doing a quick and dirty regression of order 1 only returning intercept and slope. Can not handle too big or too input values.
	QuickQuadraticRegression	Class for doing a quick and dirty regression of order 2 only returning the parameters A0, A1 and A2 as regression parameters. Can not handle too big or too small input values.
	QuickStatistics	Uses the method of running sums to calculate mean, sample standard deviation, and standard deviation of a data set.
	SavitzkyGolay	SavitzkyGolay implements the calculation of the Savitzky-Golay filter coefficients and their application to smoth data, and to calculate derivatives.
	SavitzkyGolayParameters	Stores the set of parameters necessary to calculate Savitzky-Golay coefficients.

	Interface	Description
	IDynamicParameterEstimationSolver

	Delegate	Description
	FunctionBaseEvaluator	Evaluates a function base of the variable x. The function base is returned in array functionbase.
	NLFitLMFunction	User-supplied subroutine which calculates the functions to minimize. Calculates numberOfYs functions dependent on numberOfParameter parameters and returns the calculated y values in array ys. The value of info should not be changed unless the user wants to terminate execution of LevenbergMarquardtFit. In this case set iflag to a negative integer.
	NonLinearFit2FitFunction
	NonLinearFit2JacobianFunction