TASE-Stabilized Time-Evolving Natural Gradient Methods for Diffusion-Dominated PDEs
ScientificML
Proposes TASE-stabilized Time-Evolving Natural Gradient (TENG) method that projects time-discrete target states onto the neural-network manifold via local natural-gradient iterations to address stability constraints in stiff diffusion-dominated PDEs.
See LICENSE file Time-Evolving Natural GradientDiffusion-Dominated PDEsNeural PDE Approximation