Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
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Updated
Jun 20, 2024 - Python
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Python Library for rectangular decomposition of 2D binary images. Useful for ARD(Adaptive Rectangular Decomposition) sound simulation. 🐍 📦
Domain decomposition learning algorithms for elliptic boundary value problems, with focus on the classical Dirichlet-Neumann and Robin-Robin algorithms.
MSc project - Applied Computational Science and Engineering at Imperial College London 2021. Topic: Domain Decomposition and Generative Adversarial Networks (DD-GAN) for modelling fluid flow
Code for training and inferring acoustic wave propagation in 3D
bzCompute is a computation graph library with built-in support for domain-decomposition and prallel computation. The library can be used for expressing and executing large number of mathematical and text-processing operations using Data-Flow graphs, (Educational version of tensorflow), written in pure python code with numpy support.
The goal of this trial is to use the socket programming concept to connect cores belonging to the same processor and participate in solving a mathematical problem.
Finite and boundary element methods on Python
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