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
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