Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language. The library currently supports linear and nonlinear PDE systems for scalar and vector fields, single and multi-field problems, conforming and nonconforming finite element (FE) discretizations, on structured and unstructured meshes of simplices and n-cubes. It also provides methods for time integration. Gridap is extensible and modular. One can implement new FE spaces, new reference elements, use external mesh generators, linear solvers, post-processing tools, etc. See, e.g., the list of available Gridap plugins.
Features
- Gridap has a very expressive API allowing one to solve complex PDEs with very few lines of code
- The user can write the underlying weak form with a syntax almost 1:1 to the mathematical notation
- Gridap generates an efficient FE assembly loop automatically by leveraging the Julia JIT compiler
- A hands-on user-guide to the library is available as a set of tutorials
- Gridap is a registered package in the official Julia package registry
- Examples available
Categories
Data VisualizationLicense
MIT LicenseFollow Gridap.jl
Other Useful Business Software
Earn up to 16% annual interest with Nexo.
Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform.
Geographic restrictions, eligibility, and terms apply.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Gridap.jl!