BivariateSampleNonlinearRegression Method

Finds the parameterized function that best fits the data.

Definition

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public NonlinearRegressionResult NonlinearRegression(
	Func<IReadOnlyList<double>, double, double> f,
	IReadOnlyList<double> start
)

VB

Public Function NonlinearRegression ( 
	f As Func(Of IReadOnlyList(Of Double), Double, Double),
	start As IReadOnlyList(Of Double)
) As NonlinearRegressionResult

C++

public:
NonlinearRegressionResult^ NonlinearRegression(
	Func<IReadOnlyList<double>^, double, double>^ f, 
	IReadOnlyList<double>^ start
)

F#

member NonlinearRegression : 
        f : Func<IReadOnlyList<float>, float, float> * 
        start : IReadOnlyList<float> -> NonlinearRegressionResult

Parameters

f FuncIReadOnlyListDouble, Double, Double: The parameterized function.
start IReadOnlyListDouble: An initial guess for the parameters.

Return Value

NonlinearRegressionResult
The fit result.

Remarks

In the returned FitResult, the parameters appear in the same order as in the supplied fit function and initial guess vector. No goodness-of-fit test is returned.

Exceptions

ArgumentNullException	f or start is null.
InsufficientDataException	There are not more data points than fit parameters.
DivideByZeroException	The curvature matrix is singular, indicating that the data is independent of one or more parameters, or that two or more parameters are linearly dependent.