Grid-based approximation of partial differential equations in Julia
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Updated
Sep 17, 2024 - Julia
The finite element method (FEM) is a numerical method for solving problems of engineering and mathematical physics. Typical problem areas of interest include structural analysis, heat transfer, fluid flow, mass transport, and electromagnetic potential.
Grid-based approximation of partial differential equations in Julia
Finite element toolbox for Julia
Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.
Finite Element tools in Julia
Parallel distributed-memory version of Gridap
"Programming the Finite Element Method" by I M Smith, D V Griffiths and L Margetts
Plot your Ferrite.jl data
Diffusion MRI Simulation Toolbox in Julia
Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith
Adaptive P/ODE numerics with Grassmann element TensorField assembly
Discrete Differential Forms in arbitrary dimensions
Distributed assembly layer for Ferrite.jl.
RapidFEM.jl is a Finite Element library written in Julia, aiming to provide an interface for rapid prototyping of different mathematical models without compromises on speed.
Solvers for finite element discretizations of PDEs in the SciML scientific machine learning ecosystem
Finite-Element, Discrete Variable Representation package for Julia
A Julia interface to the TOAST++ finite element library
Adaptive Finite Elements (Afine) written in the Julia programming language. A package for implementing finite element based PDE solvers.
Semi-Lagrangian Multiscale Reconstruction Method for Advection-Diffusion Problems with Rough Data