Grid-based approximation of partial differential equations in Julia
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Updated
Jun 4, 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
"Programming the Finite Element Method" by I M Smith, D V Griffiths and L Margetts
Parallel distributed-memory version of Gridap
Solvers for finite element discretizations of PDEs in the SciML scientific machine learning ecosystem
Plot your Ferrite.jl data
Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith
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.
Finite-Element, Discrete Variable Representation package for Julia
Diffusion MRI Simulation Toolbox in Julia
Distributed assembly layer for Ferrite.jl.
Semi-Lagrangian Multiscale Reconstruction Method for Advection-Diffusion Problems with Rough Data
Adaptive P/ODE numerics with Grassmann element TensorField assembly
Discrete Differential Forms in arbitrary dimensions
A Julia interface to the TOAST++ finite element library