This course covered computational techniques for situations that often arise in Physics, Mathematics, and Engineering.
-
Updated
Jun 17, 2023 - Jupyter Notebook
This course covered computational techniques for situations that often arise in Physics, Mathematics, and Engineering.
Numerical methods applied to the advection equation
Solves advection-diffusion equation for a low Prandt number medium
Deformable lattice Boltzmann method for diffusion in 1D moving domains
In this repository, you will find a serial, shared-memory parallel, distributed-memory parallel and hybrid implementations of the advection-diffusion simulation.
A problem presented by W. L. Gore & Associates at the MPI 2023 Workshop
Finite volume based solver for Advection-Diffusion Equation solver using only Python
WHETGEO-2D is a Java-based modeling environment to simulate water flow, heat and solute transport in variably saturated porous media.
Yolohtli is a 2D cardiac electrophysiology solver developed in C/CUDA parallel programming language. The solver has many functionalities to facilitate the user experience and analysis. These include easy to use loading/saving options, keyboard/mouse user interactivity, and real time OpenGL graphics. Moreover, several non-standard functions have …
Course work of computational fluid dynamics from UMich.
Continuous Assessment for ECM3446 - High Performance Computing, set by Prof. Luo Man (Year 3, Semester 2). Simulates the advection of material from a chimney by wind in the planetary boundary layer.
1D simulations using Lattice Boltzmann method
ParaDiag includes diagonalization-based Parallel-in-Time (PinT) algorithms, which can handle both both dissipative and hyperbolic equations.
Curso de Dinámica de Fluidos Computacional Aplicada (CFD) creado en la herramienta Jupyter Notebook y empleando Python V3.7
A Parallel Integrated Computational-Statistical Platform for Homogeneous Turbulent Transport
Finite volume toolbox in Python
PyMPDATA usage examples reproducing results from literature and depicting how to use PyMPDATA in Python from Jupyter notebooks
Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia and Matlab
Add a description, image, and links to the advection-diffusion topic page so that developers can more easily learn about it.
To associate your repository with the advection-diffusion topic, visit your repo's landing page and select "manage topics."