IEEE

On Improving Accuracy of Implicit FDTD Methods with Transformer-based Deep Learning Network

Abstract: The implicit Finite-Difference Time-Domain (FDTD) methods represent a class of algorithms that alleviate or even eliminate the Courant–Friedrich-Lev (CFL) stability condition inherent in ...
IEEE

On Improving Accuracy of Implicit FDTD Methods With Transformer-Based Deep Learning Network

Abstract: The implicit finite-difference time-domain (FDTD) methods represent a class of algorithms that alleviate or even eliminate the Courant–Friedrich–Levy (CFL) stability condition inherent in ...
GitHub

2D Finite-Difference Time-Domain (FDTD) electromagnetic field solver — built in Python.

The Finite-Difference Time-Domain method is a numerical technique for solving Maxwell's equations directly in the time domain. Instead of approximating solutions analytically, FDTD discretizes space ...
Investopedia

Understanding Stock Warrants and Options: Key Differences and Similarities

Yarilet Perez is an experienced multimedia journalist and fact-checker with a Master of Science in Journalism. She has worked in multiple cities covering breaking news, politics, education, and more.