Library for high-dimensional PDEs using sparse grids and discontinuous Galerkin method
Project description
The ASGarD project has the goal of building a solver specifically targeting high-dimensional PDEs where the "curse-of-dimensionality" has previously precluded useful continuum / Eularian (grid or mesh based as opposed to Monte-Carlo sampling) simulation. Our approach is based on a Discontinuous-Galerkin finite-element solver build atop an adaptive hierarchical sparse-grid (note this is different from the "combination technique" when applied to sparse-grids).
To cite the ASGarD code in your work, please use:
Papers using ASGarD:
Documentation of usage: https://project-asgard.github.io/asgard/
The developer documentation contains information about how to contribute to the ASGarD project.
Quick Install
ASGarD supports --user and venv install only.
user install: python3 -m pip install ornl-asgard==0.7.1a2 --user
venv install: python3 -m pip install ornl-asgard==0.7.1a2
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file ornl_asgard-0.7.1a2.tar.gz.
File metadata
- Download URL: ornl_asgard-0.7.1a2.tar.gz
- Upload date:
- Size: 288.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d8b93f5d64fcc056f867b0b8620d4e9b1e5a98ed29da530a2a0cb9ddaa6cdc2a
|
|
| MD5 |
f2ee4f7bc6c68f4899e4134c7af8118b
|
|
| BLAKE2b-256 |
bc154aea5c886164e0eb59623f82bd2cb87175e432a29bc84cdb8345000212a1
|