A solution, written in C, to the heat equation using Crank-Nicholson and finite differences.
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Updated
Jul 14, 2017 - C
A solution, written in C, to the heat equation using Crank-Nicholson and finite differences.
Deep learning approaches to PDEs
An easy-to-use, Python library designed to approximate solutions to partial differential equations using primarily, finite difference methods.
Differential equation solving in Python and C/C++
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.
This repository contains my thesis work on the control of RBC using symmetry exploiting deep reinforcement learning
Colección de trabajos asociados al ramo con el nombre del repositorio dictado por la Escuela de Ingeniería de la Universidad de Chile.
A package to quickly check your calculations from any quantum mechanics class
Solving the Laplace Equation numerically using Finite Difference Method
Finite ring matrix algebra benchmark models for ROSS.
Finite difference scheme for 1D advection diffusion equation with periodic BCs
Partial Differential Equations (PDEs) and its application in Image Restoration
Modelling the phenomenon of "Ecological Suicide", for a final year Master's project in Engineering Mathematics.
pseudospectral (fourier) solutions of a few 1-dimensional PDEs
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).
Basic finite difference methods applied in parabolic, elliptic and hyperbolic PDEs
Julia code to fit mechanistic-statistical models w/ Bayes and MCMC
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