FunG: A library for simple and efficient generation of nonlinear functions and its first-, second-, and third-order derivatives. The focus is on invariant-based models, such as in nonlinear elasticity, and functions that pass the assembly process in FE-computations. Supports scalars, vectors, matrices and more general types satisfying a (relaxed) vector space structure.

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  1. Sagebaum, Max; Albring, Tim; Gauger, Nicolas R.: High-performance derivative computations using CoDiPack (2019)