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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
Project Samples
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Data VisualizationLicense
MIT LicenseFollow Gridap.jl
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