Differential equation solving in Python and C/C++

This is the repo for the Numerical approximation of PDEs course at EPFL during the Spring 2025 semester

Deep learning approaches to PDEs

Modelling of chromatograpy with Python

Data-driven discovery of PDEs using the Adjoint method

Solving the Laplace Equation numerically using Finite Difference Method

This repository contains code and documentation for solving the cardiac electrophysiology problem using Finite Element methods. It includes implementations in deal.II, mesh generation with gmsh, and visualization using ParaView.

A solution, written in C, to the heat equation using Crank-Nicholson and finite differences.

A package to quickly check your calculations from any quantum mechanics class

On the existence of local analytic solutions of PDEs

Finite difference scheme for 1D advection diffusion equation with periodic BCs

Finite ring matrix algebra benchmark models for ROSS.

Mathematical examples from many areas, including population growth, epidemiology, cell biology, and traffic modeling. The models take the form of ordinary differential equations (ODEs), difference (recurrence) equations, and partial differential equations (PDEs).

Modelling the phenomenon of "Ecological Suicide", for a final year Master's project in Engineering Mathematics.

Basic finite difference methods applied in parabolic, elliptic and hyperbolic PDEs

Partial Differential Equations (PDEs) and its application in Image Restoration

This repository contains research code and experiments to solve singularly perturbed reaction–diffusion partial differential equations (PDEs) using Physics-Informed Neural Networks (PINNs).

This repository contains my thesis work on the control of RBC using symmetry exploiting deep reinforcement learning