Abstract: The conventional Yee grid modeling approach employed within the unconditionally stable complying-divergence implicit finite-difference time-domain (CDI-FDTD) technique commonly encounters ...
Abstract: An accelerated alternating-direction-implicit finite-difference time-domain (ADI-FDTD) method is proposed, which is based on the convolutional neural network (CNN). By integrating the ...
Helping your students see the possibilities of careers in STEM fields means providing them with new role models. Black History Month offers teachers more opportunities to feature the contributions of ...
This project implements a comprehensive derivatives pricing engine designed for quantitative finance applications. The engine combines multiple sophisticated mathematical models with modern ...
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