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25 search results found

Python package for solving partial differential equations using finite differences.

Diffeqoperators.jl ⭐ 279

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

Methodoflines.jl ⭐ 144

Automatic Finite Difference PDE solving with Julia SciML

YASK--Yet Another Stencil Kit: a domain-specific language and framework to create high-performance stencil code for implementing finite-difference methods and similar applications.

2d Fluid Simulator ⭐ 61

2D incompressible fluid solver implemented in Taichi.

Simulation Package for Ab-initio Real-space Calculations

OOMMF calculator.

Maxwellfdfd.jl ⭐ 37

High-performance 3D finite-difference frequency-domain (FDFD) solver of Maxwell's equations written in Julia

Open Nuclear Reactor Simulator

Matlab Simulation Package for Ab-initio Real-space Calculations

Efdcplus ⭐ 26

Geophyinv.jl ⭐ 25

A Julia Toolbox for Geophysical Modeling and Inverse Problems

Pararealml ⭐ 19

A machine learning boosted parallel-in-time differential equation solver framework.

2decomp Fft ⭐ 18

The 2DECOMP&FFT library provides access to a slabs and pencil decompositions as well as FFTs.

Finite Difference Method ⭐ 18

A Finite Difference Method Engine in C++

Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics

Discretisedfield ⭐ 16

Python package for the analysis and visualisation of finite-difference fields.

Burgers_1d ⭐ 15

Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.

An Open Nuclear Reactor Simulator and Reactor Core Analysis Tool

Staggeredgridcalculus.jl ⭐ 9

Julia package for numerical differentiation and integration of vector fields on a staggered finite-difference grid

Python Numerical Analysis ⭐ 8

Implementation of Numerical Analysis algorithms/methods in Python

Finite-Difference

Probfindiff ⭐ 7

Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and with out-of-the-box uncertainty quantification.

Modelling Laminar Flow Python ⭐ 5

This project aims to solve the 2D Navier-Stokes equations using the finite difference method for single-phase laminar flow and verify results using the benchmark lid cavity test.

Ellipsesinflows ⭐ 5

Navier-Stokes Solver with moving elliptic bodies

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1-25 of 25 search results

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