Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
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Updated
May 8, 2022 - Jupyter Notebook
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
Deterministic particle dynamics for simulating Fokker-Planck probability flows
Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation
Python module for (symbolic) evaluation of the short-time Fokker-Planck propagator to arbitrary accuracy
A brief, opinionated introduction to the Fokker-Planck equation
This repository contains code to implement the classical (construction of the Hermitian form of the Fokker-Planck operator matrix) and quantum (QPE + VQSVD) subroutines. Additionally, it contains: 1) results for the steady-state expectation values of the FPE operator and 2) results for <x^2>.
Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.
Compton scattering in particle-in-cell codes
Smoluchowski-Rotor-Chain is a simple C++ program devoted to the diffusive simulation of a chain of hydrodynamically independent 2D rotors interacting with a nearest-neighbour potential. The software solves the Symmetrized Fokker-Planck-Smoluchowski eigenvalue problem by expansion over a basis set.
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