GlobalCurveFitterFit(IListCurveFitDataSet, IListGlobalFitParameterInfo, Double) Method

Performs the fit with the given datasets and parameter information and starting with the given set of initial parameter values. The fitted function must be defined (real-valued) for all x with the initial parameter values.

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

C++

Copy

public double[][] Fit(
	IList<CurveFitDataSet> dataSets,
	IList<GlobalFitParameterInfo> parameterInfo,
	double[][] initialParameters
)

Public Function Fit ( 
	dataSets As IList(Of CurveFitDataSet),
	parameterInfo As IList(Of GlobalFitParameterInfo),
	initialParameters As Double()()
) As Double()()

public:
array<array<double>^>^ Fit(
	IList<CurveFitDataSet^>^ dataSets, 
	IList<GlobalFitParameterInfo^>^ parameterInfo, 
	array<array<double>^>^ initialParameters
)

member Fit : 
        dataSets : IList<CurveFitDataSet> * 
        parameterInfo : IList<GlobalFitParameterInfo> * 
        initialParameters : float[][] -> float[][]

Parameters

dataSets IListCurveFitDataSet: Datasets to fit.
parameterInfo IListGlobalFitParameterInfo: Parameter information.
initialParameters Double: Initial parameter values.

Return Value

Double
Parameter estimates as a jagged array of doubles. Note that we will get one parameter estimate for each shared parameter and N parameter estimates for each non-shared parameter, where N is the number of data sets. For example, p[i][j] is the value of the ith parameter for the jth data set. If the ith parameter is shared only the index j = 0 will be valid since we have only one parameter value. If the ith parameter is shared between the N data sets then indices j = 0, 1,..., N-1 are valid. For example: p[i][0] - value for the ith parameter if shared. p[i][0], p[i][1],..., p[i][N-1] - values for the ith non-shared parameter for data sets 0, 1,..., N-1.

Reference

GlobalCurveFitter Class

Fit Overload

CenterSpace.NMath.Core Namespace