Implement arbitrary order derivatives for tensor-product evaluators #15124
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This PR is a preparation for an upcoming one (that simplifies the internals of
MappingQ
), and implements arbitrary order derivatives for the code path of tensor-product evaluators on arbitrary points, the data structure underlyingFEPointEvaluation
for example. The derivatives are returned in compressed format, using all symmetries that are in the higher order derivatives (such as symmetry in the Hessian), thus returning a unrolled tensor.