private static class PointingModel.PointingDataModel extends AbstractDataModel
DataModel framework. Can use
different amoebas for solving the pm, starting with the GLR solutionAbstractDataModel.ChiSquare, AbstractDataModel.Lorentzian, AbstractDataModel.Robust| Modifier and Type | Field and Description |
|---|---|
(package private) Multidimensional[] |
model |
| Modifier | Constructor and Description |
|---|---|
private |
PointingDataModel(VectorG[] azalt,
VectorG meas,
VectorG err,
Multidimensional[] func) |
| Modifier and Type | Method and Description |
|---|---|
double |
evaluateModel(VectorG params,
VectorG azalt) |
int |
getParameterCount() |
private static VectorG[] |
shuffle(VectorG[] azalt) |
clip, getChi2, getChi2, getChiSquareModel, getChiSquareModel, getComponent, getFixParameters, getFixParameters, getLorentzianModel, getLorentzianSolving, getMeasureCount, getMeasurementErrors, getMeasurementTimes, getMeasures, getModel, getModel, getResiduals, getResiduals, getRms, getRms, getRobustModel, getRobustSolving, getSimplexSolving, getTimeOffset, getTimes, getTotalErrors, setMeasures, setTimes, setTotalErrorsMultidimensional[] model
private PointingDataModel(VectorG[] azalt, VectorG meas, VectorG err, Multidimensional[] func)