May 3, 2024 · This contribution examines the capabilities of the Python ecosystem to solve nonlinear energy minimization problems.
Sep 6, 2024 · This contribution examines the capabilities of the Python ecosystem to solve nonlinear energy minimization problems, with a particular focus ...
This contribution examines the capabilities of the Python ecosystem to solve nonlinear energy minimization problems, with a par- ticular focus on transitioning ...
This contribution examines the capabilities of the Python ecosystem to solve nonlinear energy minimization problems, with a particular focus on ...
Michal Béreš, Jan Valdman, Minimization of Nonlinear Energies in Python Using FEM and Automatic Differentiation Tools -> file link. Journal articles and ...
The parameters k1, k2 and the forcing term f are defined in FEniCS using the keyword Constant . To define coefficients that are space dependent one should use ...
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Minimization of Nonlinear Energies in Python Using FEM and Automatic Differentiation Tools · Minimization of energy functionals via FEM: implementation of hp-FEM.
A GPU-accelerated differentiable finite element analysis package based on JAX. Used to be part of the suite of open-source python packages for Additive ...
Minimization of Nonlinear Energies in Python Using FEM and Automatic Differentiation Tools ... Python's streamlined approach to minimizing nonlinear energies ...
Jul 7, 2024 · This book is aimed at students and researchers who want to learn how to effi- ciently solve constrained optimization problems involving ...