| | 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.
|
Methods