Python package for numerical derivatives and partial differential equations in any number of dimensions.

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

Interactive web-based simulator of electromagnetic waves

Single-file implementations of 2D and 3D acoustic and elastic wave propagation in time domain using finite-differences(FDTD). Simple formulation and implementation

Collection of Matlab, Python and Jupyter Notebook scripts for Finite-Difference seismic wave simulation in 1-D and 2-D

A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.

Modern Fortran Numerical Differentiation Library

Python-Fortran bindings examples

Simulates the propagation of the acoustic wave using the finite difference method in 2D and 3D domains.

Finite difference weights for any derivative order on arbitrarily spaced grids. C89, C++ and Fortran 90 implementations with Python bindings.

A simple finite-difference library using Eigen.

A Finite Difference Method Engine in C++

Mimetic Operators Library Enhanced

Julia library for function approximation with compact basis functions

The Mimetic Operators Library Enhanced

OpenCAL, the Open Computing Abstraction Layer Domain Specific Language for Structured Grid Meshes

Conjugate gradients minimization

Set of modern Fortran numerical methods.

Implementation of Numerical Analysis algorithms/methods in Python

semba-fdtd is a finite-differences in time domain solver with special focus on EMC problems. semba-fdtd can be used as a standalone solver or integrated within a FreeCAD workbench (www.elemwave.com).