Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.

PyClaw is a Python-based interface to the algorithms of Clawpack and SharpClaw. It also contains the PetClaw package, which adds parallelism through PETSc.

A Python framework for developing parallelized Computational Fluid Dynamics software to solve the hyperbolic 2D Euler equations on distributed, multi-block structured grids.

A Fortran implementation of high-resolution WENO schemes for hyperbolic conservation equations

Numeric Schemes for Conservation Laws

Space-Time Discontinuous Galerkin Code implemented for final project in graduate course TAM 574 - Advanced Finite Element Methods

CUDA kernels for solving the most popular hyperbolic and parabolic PDEs

PyMPDATA usage examples reproducing results from literature and depicting how to use PyMPDATA in Python from Jupyter notebooks

A bunch of solvers for some of the most common hyperbolic problems in C.

The simplest hyperbolic partial differential equation (the wave equation) is solved by Finite Difference Method

Repository containing several implementations and analysis of finite difference methods for solving hyperbolic PDEs. Project carried out for the course "Advanced Numerical Analysis" @ SISSA

Homework assignments for equations of mathematical physics

A collection of Python code and Google Colab notebooks that implement classic numerical PDE algorithms (Finite Differences, Finite Elements, Multigrid) and analyze performance. You can open the Google Colab notebooks (.ipynb) through GitHub to view the code and correpsonding plots and analysis!

A science code. Solver for multiphase hyperelastic models.