![]() | Multiple |
The MultipleCurveFitResidual type exposes the following members.
Name | Description | |
---|---|---|
![]() | MultipleCurveFitResidual(IListDoubleVector, IListDoubleVector, MultipleCurveFitFunction) | Constructs a MultipleCurveFitResidual object from the given MultipleCurveFitFunction, data set x and y values, and weights for y values. |
![]() | MultipleCurveFitResidual(IListDoubleVector, IListDoubleVector, IListDoubleVector, MultipleCurveFitFunction) | Constructs a MultipleCurveFitResidual object from the given MultipleCurveFitFunction, data set x and y values, and weights for y values. |
Name | Description | |
---|---|---|
![]() | CentralDifferenceDelta |
Sets the delta for using the central difference method for
approximating the Jacobian. The Jacobian will be approximated
only if the deriving class does not override
the Jacobian method.
(Inherited from DoubleMultiVariableFunction) |
![]() | Weights | Gets the concatenated vector of y-value weights for the data sets. |
![]() | X | Gets the concatenated vector of x-values for the data sets. |
![]() | XDimension |
Gets and sets the dimension of the function domain.
(Inherited from DoubleMultiVariableFunction) |
![]() | Y | Gets the concatenated vector of y-values for the data sets. |
![]() | YDimension |
Gets and sets the dimension of the function range.
(Inherited from DoubleMultiVariableFunction) |
Name | Description | |
---|---|---|
![]() | Clone | ICloneable method. Not implemented here. Deriving classes
must implement if desired.
(Inherited from DoubleMultiVariableFunction) |
![]() | Evaluate(Double) |
Evaluate the function at the point x.
(Inherited from DoubleMultiVariableFunction) |
![]() | Evaluate(DoubleMatrix, DoubleMatrix) |
Evaluate the function at the points X and place the results in
Y.
(Inherited from DoubleMultiVariableFunction) |
![]() | Evaluate(DoubleVector, DoubleVector) |
Fills in the vector of residuals (differences) for the give set of
parameters. If y-value weights have been specified the residuals are
weighted (multiplied) by the square root of the corresponding weights.
This is so that the each residual in the sum square error will be
weighted by the weight instead of the weight squared.
(Overrides DoubleMultiVariableFunctionEvaluate(DoubleVector, DoubleVector)) |
![]() | Jacobian(Double) |
Evaluates the Jacobian of the function at the given point.
(Inherited from DoubleMultiVariableFunction) |
![]() | Jacobian(DoubleVector, DoubleMatrix) |
Virtual method for evaluating the Jacobian of the function at the given point.
(Inherited from DoubleMultiVariableFunction) |
Name | Description | |
---|---|---|
![]() | centralDifferenceDelta_ |
Sets the delta for using the central difference method for
approximating the Jacobian. The Jacobian will be approximated
only if the deriving class does not override
the Jacobian method.
(Inherited from DoubleMultiVariableFunction) |
![]() | xDimension_ |
Dimension of the function domain.
(Inherited from DoubleMultiVariableFunction) |
![]() | yDimension_ |
Dimension of the function range.
(Inherited from DoubleMultiVariableFunction) |