 | MultipleCurveFit Class |
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