 | Multiple |
Class for performing simulatenous fitting of multiple data sets with
shared fitting parameters.
As an example suppose we have two sets of data points-
dataset 1 = { (x11,y11), (x12,y12),...,(x1n,y1n) }
dataset 2 = { (x21,y21), (x22,y22),...,(x2n,y2m) }
And suppose we have two parameterized functions
f1(beta,x) = cos(2*pi*beta(0)*x)*exp(-x/beta(1))
f2(beta,x) = beta(3) + beta(2)*exp(-(x/beta(1)))
where beta is a vector of four parameters. The MultiCurveFit
class solves the problem of finding the parameter values beta
that best fit, in the least squares sense, the function f1 to dataset 1
and the function f2 to dataset 2 with the parameter beta(1) being the same for
both datasets.
Inheritance HierarchyNamespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4
SyntaxThe MultipleCurveFit type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | MultipleCurveFit | Constructs a MultipleCurveFit object with default settings. |
| MultipleCurveFit(Double) | Constructs a MultipleCurveFit object with the minimizer using the given error tolerance in finding the solution. |
| MultipleCurveFit(Int32) | Constructs a MultipleCurveFit object with the minimizer using the given maximum number of iterations to perform. |
| MultipleCurveFit(TrustRegionMinimizer) | Constructs a MultipleCurveFit object using the provided minimizer. |
| MultipleCurveFit(Double, Int32) | Constructs a MultipleCurveFit object with the minimizer using the given maximum number of iterations to perform and error tolerance. |
Properties| Name | Description | |
|---|---|---|
 | FinalResidual | Gets the final residual. |
| InitialResidual | Gets the initial residual. |
| InitialStepBound | Gets and sets the initial step bound. In most cases this should be between 0.1 and 100.0. |
| Iterations | Gets the number of iterations used in the estimate of the parameters just computed. |
| MaxIterationsMet | Returns true if the parameters just computed stopped because the maximum number of iterations was reached; otherwise, false. |
| MaxTrialIterations | Gets and sets the maximum number of iterations of trial step calculation. |
| Minimizer | Gets and sets the least squares minimizer used to perform the fit. |
| StopCriterion | The reason for stopping. |
| ToleranceFunctionValue | Gets and sets the tolerance used to check the function value. |
| ToleranceImprovement | Gets and sets the tolerance used to check the improvement between steps. |
| ToleranceJacobian | Gets and sets the tolerance used to check the Jacobian. |
| ToleranceTrialStep | Gets and sets the tolerance used to check the trial step. |
| ToleranceTrustRegionArea | Gets and sets the tolerance used to check the trust region area. |
Methods| Name | Description | |
|---|---|---|
| Fit(IListMultipleFitCurveInfo, DoubleVector) | Performs the fit. |
| Fit(IListMultipleFitCurveInfo, DoubleVector, DoubleVector, DoubleVector) |
See Also