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To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary cond…
This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple methods like Gauss Elimination, ADI method to advance methods like Rhie-chow interpolation, SIMPLE are implemented. This was done as a part of the CFD course offered at IIT Gandhinagar 2021.
Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.
Se calcula varios LIS, soluciones de Campo de Fuerza, Convección-Difusión, semblanza entre la función de rendimiento atmosférico, manchas solares, campo magnético solar.
Testing the implementation of numerical methods for solving the convection diffusion problem with variable coefficients and Neumann boundary conditions