Objective |
[Missing <summary> documentation for "T:Altaxo.Calc.Optimization.ObjectiveFunction"]
public static class ObjectiveFunction
The ObjectiveFunction type exposes the following members.
| Name | Description | |
|---|---|---|
| Gradient(FuncVectorDouble, ValueTupleDouble, VectorDouble) | Objective function where the Gradient is available. Greedy evaluation. | |
| Gradient(FuncVectorDouble, Double, FuncVectorDouble, VectorDouble) | Objective function where the Gradient is available. Lazy evaluation. | |
| GradientHessian(FuncVectorDouble, ValueTupleDouble, VectorDouble, MatrixDouble) | Objective function where both Gradient and Hessian are available. Greedy evaluation. | |
| GradientHessian(FuncVectorDouble, Double, FuncVectorDouble, VectorDouble, FuncVectorDouble, MatrixDouble) | Objective function where both Gradient and Hessian are available. Lazy evaluation. | |
| Hessian(FuncVectorDouble, ValueTupleDouble, MatrixDouble) | Objective function where the Hessian is available. Greedy evaluation. | |
| Hessian(FuncVectorDouble, Double, FuncVectorDouble, MatrixDouble) | Objective function where the Hessian is available. Lazy evaluation. | |
| NonlinearFunction(FuncVectorDouble, VectorDouble, VectorDouble, VectorDouble, VectorDouble, VectorDouble, Int32) | Objective function for nonlinear least squares regression. The numerical jacobian with accuracy order is used. | |
| NonlinearFunction(FuncVectorDouble, VectorDouble, VectorDouble, FuncVectorDouble, VectorDouble, MatrixDouble, VectorDouble, VectorDouble, VectorDouble) | Objective function with a user supplied jacobian for nonlinear least squares regression. | |
| NonlinearModel(FuncVectorDouble, VectorDouble, VectorDouble, VectorDouble, VectorDouble, VectorDouble, Int32) | Objective model for non-linear least squares regression. | |
| NonlinearModel(FuncVectorDouble, VectorDouble, VectorDouble, FuncVectorDouble, VectorDouble, MatrixDouble, VectorDouble, VectorDouble, VectorDouble) | objective model with a user supplied jacobian for non-linear least squares regression. | |
| NonlinearModel(FuncVectorDouble, Double, Double, VectorDouble, VectorDouble, VectorDouble, Int32) | Objective model for non-linear least squares regression. | |
| NonlinearModel(FuncVectorDouble, Double, Double, FuncVectorDouble, Double, VectorDouble, VectorDouble, VectorDouble, VectorDouble) | Objective model with a user supplied jacobian for non-linear least squares regression. | |
| ScalarDerivative | Objective function where the first derivative is available. | |
| ScalarSecondDerivative | Objective function where the first and second derivatives are available. | |
| ScalarValue | Objective function where neither first nor second derivative is available. | |
| Value | Objective function where neither Gradient nor Hessian is available. |