Grid-based approximation of partial differential equations in Julia (by gridap)

Gridap.jl Alternatives

Similar projects and alternatives to Gridap.jl

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better Gridap.jl alternative or higher similarity.

Gridap.jl reviews and mentions

Posts with mentions or reviews of Gridap.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-25.
  • Best free/open source CAS ?
    2 projects | /r/MechanicalEngineering | 25 Jun 2022
    Another I've been working on learning is Julia, which aims to use a syntax very similar to how you'd write it mathematically, and I like being able to include units in calculations using the unitful.jl package, and there are FEM packages available like Gridap.
  • [Research] Input Arbitrary PDE -> Output Approximate Solution
    4 projects | /r/MachineLearning | 10 Jul 2021
    PINN methods are absurdly slow (DeepXDE is about 10,000x slower than an ODE solver for example, while using implicit parallelism vs serial ODE solver) but they are flexible. So ModelingToolkit.jl has alternative options, like DiffEqOperators.jl takes the same specification and generates ODESystem and NonlinearSystem problems via finite difference discretizations (known as "method of lines"). There's a (pseudo-)spectral part of the interface coming relatively soon as well, with GridAP.jl integration for FEM coming soon. So this is made to be a universal arbitrary PDE -> approximate solution interface which is generic to the method and solving process.


Basic Gridap.jl repo stats
18 days ago

gridap/Gridap.jl is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of Gridap.jl is Julia.

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