ML4FnP / GMRES-LearningLinks
See if we can't do some real-time learning for GMRES -- Rejoice!
☆11Updated 3 years ago
Alternatives and similar repositories for GMRES-Learning
Users that are interested in GMRES-Learning are comparing it to the libraries listed below
Sorting:
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆19Updated 5 months ago
- ☆14Updated 6 years ago
- Automating the Design of Multigrid Methods with Evolutionary Program Synthesis☆13Updated 8 months ago
- H2Opus: a performance-oriented library for hierarchical matrices☆19Updated 2 years ago
- Learning Algebraic Multigrid Using Graph Neural Networks☆25Updated 5 years ago
- A machine learning boosted parallel-in-time differential equation solver framework.☆27Updated 2 years ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆41Updated 3 years ago
- ☆14Updated 3 years ago
- Mini App for FEniCSx performance testing☆19Updated this week
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- Flexible local Fourier analysis library.☆12Updated 4 years ago
- Classic Algebraic Multigrid (AMG) Demo☆23Updated 7 years ago
- A library of parallel sparse preconditionersfor PSBLAS☆11Updated 2 weeks ago
- Toolbox for HODLR and HSS matrices in MATLAB☆46Updated 6 months ago
- XBraid Parallel-in-Time Solvers☆81Updated 4 months ago
- A generic FEM solver by meta-expressions☆18Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- About code release of "Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains"☆41Updated 2 weeks ago
- ☆30Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 11 months ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆85Updated 4 years ago
- Exasim: Generating Discontinuous Galerkin Codes For Extreme Scalable Simulations☆78Updated this week
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs☆21Updated last year
- Multigrid Methods - An Overview, A lecture series at Imperial College☆26Updated 9 months ago
- ☆28Updated last year
- ☆32Updated last week