FunG
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.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
Sorted by year (- Schiela, Anton; Stöcklein, Matthias; Weiser, Martin: A primal-dual projection algorithm for efficient constraint preconditioning (2021)
- Schiela, Anton; Stoecklein, Matthias: Optimal control of static contact in finite strain elasticity (2020)
- Sagebaum, Max; Albring, Tim; Gauger, Nicolas R.: High-performance derivative computations using CoDiPack (2019)