Welcome to the Electromagnetic Simulation project! This repository showcases simulations of 1D, 2D, and 3D Finite-Difference Time-Domain (FDTD) methods, inspired by the work of Jennifer E. Houlie and ...
Developed a CUDA version of the FDTD method and achieved a speedup 40x. Implemented on a NVIDIA Quadro FX 3800 GPU, which has 192 SPs, 1GB global memory, and a memory bandwidth of 51.2 GB/s.
Image-Edge-Detection-with-Taylor-Series-and-Finite-Difference This Python project implements Taylor series derivatives and finite difference methods to detect edges in images, efficiently highlighting ...
Finite-difference approximations for the first derivative, valid halfway between equidistant gridpoints, are in general much more accurate than the corresponding approximations, which are valid at ...
Abstract: Estimating stochastic gradients is pivotal in fields like service systems in operations research. The classical method for this estimation is the finite-difference approximation, which ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
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