QuickNonlinearRegressionFit(IReadOnlyListDouble, IReadOnlyListDouble, IReadOnlyListDouble, IReadOnlyListNullableDouble, IReadOnlyListNullableDouble, IReadOnlyListDouble, IReadOnlyListBoolean, CancellationToken, ActionInt32, Double, IReadOnlyListDouble) Method |
Non-linear least square fitting by the Levenberg-Marquardt algorithm.
Namespace: Altaxo.Calc.Regression.NonlinearAssembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
Syntax public NonlinearMinimizationResult Fit(
IReadOnlyList<double> xValues,
IReadOnlyList<double> yValues,
IReadOnlyList<double> initialGuess,
IReadOnlyList<double?>? lowerBounds,
IReadOnlyList<double?>? upperBounds,
IReadOnlyList<double>? scales,
IReadOnlyList<bool>? isFixed,
CancellationToken cancellationToken,
Action<int, double, IReadOnlyList<double>>? reportChi2Progress = null
)
Parameters
- xValues IReadOnlyListDouble
- The x-values of the model to fit.
- yValues IReadOnlyListDouble
- The y-values of the model to fit.
- initialGuess IReadOnlyListDouble
- The initially guessed parameter values.
- lowerBounds IReadOnlyListNullableDouble
- The lower bounds of the parameters. The array must have the same length as the parameter array. Provide null if not needed.
- upperBounds IReadOnlyListNullableDouble
- The upper bounds of the parameters. The array must have the same length as the parameter array. Provide null if not needed.
- scales IReadOnlyListDouble
- The scales of the parameters. The array must have the same length as the parameter array. Provide null if not needed.
- isFixed IReadOnlyListBoolean
- Array of booleans, which provide which parameters are fixed. Must have the same length as the parameter array. Provide null if not needed.
- cancellationToken CancellationToken
- Token to cancel the evaluation
- reportChi2Progress ActionInt32, Double, IReadOnlyListDouble (Optional)
- Event handler that can be used to report the NumberOfIterations, Chi² value and current parameter set achived so far. Can be null
Return Value
NonlinearMinimizationResultThe result of the Levenberg-Marquardt minimization
See Also