Pinned Repositories
PINNs_wave_equation
An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave equation.
eDMD-sos
Data-driven construction of auxuliary functions for dynamical system analysis
pinns_heat
In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.
ADMM-PINNs
Python codes for the paper "The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach"
pyControls
The pyControls package provides a framework for simulations of gas networks with arbirary geometry and edge dynamics. This package provides a high-order solver for the isoeuler equations and a reader for the GasLib scenarios. Furthermore, the network is easily plotted either in 2D or 3D manner.
RL-cart
Control of a cart via reinforcement learning
.github
FL-FedAvg
A basic PyTorch implementation of the Federated Learning FedAvg algorithm.
numerical_graphs
Finite difference scheme for convection-diffusion initial-boundary value problem on metric trees
pressure_function
This program finds a numeric solution for the stationary states on arbitrary finite gas networks. This code is a part of the bachelor thesis of Veronika Riedl.
FAU Chair for Dynamics, Control and Numerics - Alexander von Humboldt Professorship's Repositories
DCN-FAU-AvH/clustering-hardmax-transformers
DCN-FAU-AvH/eDMD-sos
Data-driven construction of auxuliary functions for dynamical system analysis
DCN-FAU-AvH/.github
DCN-FAU-AvH/pinns_heat
In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.
DCN-FAU-AvH/DCN_poster_template
LaTeX template for the posters at the Chair in Dynamics, Control, and Numerics.
DCN-FAU-AvH/RL-cart
Control of a cart via reinforcement learning
DCN-FAU-AvH/numerical_graphs
Finite difference scheme for convection-diffusion initial-boundary value problem on metric trees
DCN-FAU-AvH/ADMM-PINNs
Python codes for the paper "The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach"
DCN-FAU-AvH/FL-FedAvg
A basic PyTorch implementation of the Federated Learning FedAvg algorithm.
DCN-FAU-AvH/PINNs_wave_equation
An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave equation.
DCN-FAU-AvH/hamilton_jacobi
Our goal here is to study the inverse design problem associated to Hamilton Jacobi Equations (HJ). More precisely, for a given target function and a time horizon T>0, we want to construct all the initial conditions such that the viscosity solution of (HJ) coincides with a target function at time T.
DCN-FAU-AvH/pressure_function
This program finds a numeric solution for the stationary states on arbitrary finite gas networks. This code is a part of the bachelor thesis of Veronika Riedl.
DCN-FAU-AvH/pyControls
The pyControls package provides a framework for simulations of gas networks with arbirary geometry and edge dynamics. This package provides a high-order solver for the isoeuler equations and a reader for the GasLib scenarios. Furthermore, the network is easily plotted either in 2D or 3D manner.
DCN-FAU-AvH/robust_neuralODE
DCN-FAU-AvH/Lloyds-algorithm
In this repository, we show a code for the Lloyd's algorithm.