Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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Updated
Jun 15, 2023 - Julia
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Python package for solving partial differential equations using finite differences.
Simulation Package for Ab-initio Real-space Calculations
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.
Matlab Simulation Package for Ab-initio Real-space Calculations
Automatic Finite Difference PDE solving with Julia SciML
OOMMF calculator.
2D incompressible fluid solver implemented in Taichi.
A Julia Toolbox for Geophysical Modeling and Inverse Problems
Python package for the analysis and visualisation of finite-difference fields.
The 2DECOMP&FFT library provides access to a slabs and pencil decompositions as well as FFTs.
Open Nuclear Reactor Simulator
Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics
A 1D heat conduction solver using Finite Difference Method and implicit backward Euler time scheme
An Open Nuclear Reactor Simulator and Reactor Core Analysis Tool
A Finite Difference Method Engine in C++
In analogy with thirdorder.py in ShengBTE, Fourthorder.py is developed to calculate fourth-order interatomic force-constants (4th-IFCs). Please post your questions in the 'Discussion' section of FourPhonon repository.
This file includes the code I've written for the course Numerical Method in finance, Stochastic Calculus in Spring 2020.
finite difference for magnetotelluric 2D forward modeling
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