splinepy.helpme.mapper.Mapper.basis_function_derivatives#
- Mapper.basis_function_derivatives(queries, gradient=False, hessian=False, laplacian=False, nthreads=None)[source]#
Function to retrieve more than one basis function derivative
More efficient implementation if more than one derivative is required, as many values can be precalculated. See class documentation for more details.
- Parameters:
queries ((n, para_dim) array-like) – Evaluation points in the parametric domain
gradient (bool) – Evaluate Basis Function Gradient mapped into the physical domain
hessian (bool) – Evaluate Basis Function Hessian mapped into the physical domain
laplacian (bool) – Evaluate Basis Function Laplacian mapped into the physical domain
nthreads (int) – Number of threads available for the computation
- Returns:
results – Dictionary with required values stored with same name as function arguments
- Return type:
dict