🌊 Numerically solving and backpropagating through the wave equation
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
Collection of Jupyter notebooks illustrating various techniques in computational acoustics
Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.
A Python interface to k-Wave GPU accelerated binaries
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Short python samples of recreational mathematics.
A Julia library for simulating, processing, and plotting multiple scattering of waves.
2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
Computes effective mode in a 2D wave guide
C++/CUDA implementation of the most popular hyperbolic and parabolic PDE solvers
Notes and examples on how to solve partial differential equations with numerical methods, using Python.
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Computational Methods for Numerical Analysis
🕹 Demos of Games 103 (Physics Simulation) Using Unity
Physical optics in Python
Computes effective mode in a 1D wave guide
A Mathematica package to calculate exact multiple scattering, in time and frequency, according to the 2D wave equation.
In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm
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