Hybridized Discontinuous Galerkin
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Updated
Aug 9, 2019 - Julia
Hybridized Discontinuous Galerkin
A Julia interface to the TOAST++ finite element library
Partial differential equations using Discrete Exterior Calculus
Discrete Differential Forms in arbitrary dimensions
"Programming the Finite Element Method" by I M Smith, D V Griffiths and L Margetts
Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith
Julia file that solves a partial differential equation (PDE) using three parts: (1) setting up the PDE, (2) defining the numerical method for solving the PDE, and (3) running the simulation
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Audio-visuals from the Kuramoto-Sivashinsky equation
Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
Implementation of the finite volume method for moving boundary problems in 1D.
Adaptive quadratures for nonlinear approximation of low-dimensional PDEs using smooth neural networks
Implementation of the numerical scheme for the solution of the age-structured SVeaiR model
Local Fourier Analysis for arbitrary order finite element type operators
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Distributed assembly layer for Ferrite.jl.
Solver for two-dimensional conservation equations using the finite volume method in Julia.
Finite Element tools in Julia
1D and 2D Wave simulation from scratch
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