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==0.9.0 --user
venv install: python3 -m pip install ornl-asgard==0.9.0
1 maintainer
Metadata
1 maintainer
Release files for ornl-asgard 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ornl_asgard-0.9.0.tar.gz | 362.5 kB | Without provenance | Details |
Release files / ornl_asgard-0.9.0.tar.gz
| Download URL | ornl_asgard-0.9.0.tar.gz |
|---|---|
| Size | 362.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
06af051f6e05826df3f10235b16b68daf858023754ba97d2ca3392b7f7820841
|
|
BLAKE2b-256 checksum How to use checksums |
4b924b2ef0ae74a58fcef1d4c670b3baefb7a1a795768785f0bcf70396ac9230
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Security for ornl-asgard 0.9.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
