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 ...
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