splinepy.helpme.mapper.Mapper.gradient#

Mapper.gradient(queries, nthreads=None)[source]#

Map gradient field into the physical domain

Gradient is in form

\[J^k_i = \frac{\partial f^k}{\partial x_i}\]

See class documentation for more details.

Parameters:
  • queries ((n, para_dim) array-like) – Points for evaluation

  • nthreads (int) – Threads used for calculation

Returns:

gradient

Return type:

(n, dim, para_dim) np.ndarray