Implementation of the finite volume method for moving boundary problems in 1D.
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Updated
Dec 5, 2023 - Julia
Implementation of the finite volume method for moving boundary problems in 1D.
Audio-visuals from the Kuramoto-Sivashinsky equation
Implementation of the numerical scheme for the solution of the age-structured SVeaiR model
Solving Universal Differential Equations in Julia
Adaptive quadratures for nonlinear approximation of low-dimensional PDEs using smooth neural networks
Implementation of the finite volume method in 1D.
A Julia interface to the TOAST++ finite element library
Hybridized Discontinuous Galerkin
High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase
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
Distributed assembly layer for Ferrite.jl.
Discrete Differential Forms in arbitrary dimensions
Adaptive P/ODE numerics with Grassmann element TensorField assembly
Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith
Local Fourier Analysis for arbitrary order finite element type operators
Partial differential equations using Discrete Exterior Calculus
Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe
Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
Solver for two-dimensional conservation equations using the finite volume method in Julia.
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