b03901165Shih / 2D_FPE_Solver
Two Dimensional Fokker-Planck Solver using Matlab
☆19Updated 5 years ago
Alternatives and similar repositories for 2D_FPE_Solver:
Users that are interested in 2D_FPE_Solver are comparing it to the libraries listed below
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated last month
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last week
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Updated 2 years ago
- Algorithms for identifying coherent structures in sparse and noisy trajectory datasets☆13Updated 3 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆51Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- A two-level sparse direct solver for elliptic PDEs.☆30Updated 9 months ago
- Compute spectral measures of self-adjoint operators☆17Updated 2 years ago
- Numerically solve the Fokker-Planck equation in N dimensions☆88Updated last year
- Spectral Methods in Python☆53Updated this week
- Simple pseudospectral solver in Julia.☆18Updated 4 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated 2 months ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆36Updated 4 months ago
- ☆23Updated 8 months ago
- ☆9Updated 6 months ago
- This codebase is a set of libraries to compute N-body interactions governed by the Laplace and Helmholtz equations, to a specified precis…☆24Updated last month
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆14Updated 2 years ago
- ☆39Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- A library of tools for computing variants of Dynamic Mode Decomposition☆46Updated 7 years ago
- ME 697 - Advanced Scientific Machine Learning☆21Updated this week
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated last year