|
The function sibson_gradient_fitting is parameterized by a traits class that defines the primitives used by the algorithm. The concept GradientFittingTraits defines this common set of requirements.
|
| |
|
The number type must follow the model
FieldNumberType.
| |
|
| |
|
The point type on
which the function is defined and interpolated.
| |
|
| |
|
The corresponding vector type.
| |
|
| |
|
defines a
matrix type.
Must provide the following member functions : Aff_transformation tr.inverse () which gives the inverse transformation, and Aff_transformation tr.transform( Vector v) which returns the multiplication of tr with v.
| |
|
| |
|
A constructor object for
Vector_d.
Provides : Vector_d operator() (Point_d a, Point_d b) which produces the vector b - a and Vector_d operator() (Null_vector NULL_VECTOR) which introduces the null vector.
| |
|
| |
|
Constructor object for
Vector_d.
Provides : Vector_d operator() (Vector_d v,FT scale) which produces the vector v scaled by a factor scale.
| |
|
| |
|
Constructor object for
Aff_transformation_d. Provides : Aff_transformation_d operator()() which introduces an affine transformation whose matrix has only zero entries.
| |
|
| |
|
Constructor object for
Aff_transformation_d. Provides : Aff_transformation_d operator()(FT scale) which introduces a scaling by a scale factor scale.
| |
|
| |
|
Constructor object for
Aff_transformation_d. Provides : Aff_transformation_d operator()(Aff_transformation_d tr1, Aff_transformation_d tr2) which returns the sum of the two matrices representing tr1 and tr2.
| |
|
| |
|
Constructor object for
Aff_transformation_d. Provides : Aff_transformation_d operator()(Vector v) which returns the outer product, i.e. the quadratic matrix vtv.
| |
|
| |
|
default constructor.
| |