Hybrid discretisation methods in Julia (HDG, HHO, VEM, etc)
GridapHybrid.jl is fresh approach, based on Julia, towards a unified computational framework that supports R&D in hybrid discretization methods on general polytopal meshes, including HDG (Hybridizable Discontinuous Galerkin), HHO (Hybrid High Order), and VEM (Virtual Element Method), and highly scalable parallel preconditioning techniques (based, e.g., on hybrid multiscale ideas) tailored to these discretization techniques.
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In order to give credit to the Gridap and GridapHybrid contributors, we simply ask you to cite the Gridap main project as indicated here and the sub-packages you use as indicated in the corresponding repositories. Please, use the reference below in any publication in which you have made use of GridapHybrid:
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GridapHybrid is a collaborative project open to contributions. If you want to contribute, please take into account:
- Before opening a PR with a significant contribution, contact the project administrators by opening an issue describing what you are willing to implement. Wait for feed-back from other community members.
- We adhere to the contribution and code-of-conduct instructions of the Gridap.jl project, available here and here, resp. Please, carefully read and follow the instructions in these files.
- Open a PR with your contribution.
Want to help? We have issues waiting for help. You can start contributing to the GridapHybrid project by solving some of those issues.