Torch based framework for PDE solving with Green's functions
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Updated
Jun 1, 2024 - Python
Torch based framework for PDE solving with Green's functions
This code encompasses a simple strategy, a symmetric high-order interpolation of the correction term, for completing the higher-order solution on the fine grid.
A 2D linear convection solver using Summation-By-Parts (SBP) discretization methods.
Parabolic PDE resolution with Tensor Networks using Backward-Forward Stochastic Differential Equations
this code uses Finite Difference Method to solve the function: sin(x) * exp(-t)
Three projects from CC3501 - Modeling and Computer Graphics for Engineers (5th semester of Computer Science Engineering at FCFM, University of Chile).
Solution methods for the streamfunction equation and animating time evolution of vorticity
An implementation of ordinary and partial differential equations solvers using undirected graphs in C++
Here's a series of undergrad level physics projects to practice the basics of scientific python and common numerical methods. I wrote much of this during my undergrad years and found these quite useful in getting me comfortable with day-to-day computational work as a grad student.
Repository of the project for the exam Numerical Method for PDE, Politecnico of Turin
Physics-informed neural networks(PINN) use universal function approximators to integrate knowledge of physical laws described by PDEs into the learning process, addressing data scarcity in biological and engineering systems.
Implementation of the method of characteristics for solving PDEs in Simulink
Solving partial differential equations with neural networks
Spectral Element Library in Fortran
This repository deals with solving partial differential equations using Machine Learning.
EIT-EBM
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