Python, “MATLAB vs Python: Why and how to make the switch – Real Python,”. Unpingco, “Some comparative benchmarks for linear algebra computations in Matlab and Scientific Python,” in 2008 DoD HPCMP Users Group Conference, pp. He was the Chair of the Engineering and Physics Division of the Mississippi Academy of Science, the Chair of the Educational Activity Committee for IEEE Region 3 Section, the General Chair for the 2014 APS-URSI Symposium, the president of ACES Society from 2013 to 2015, and the IEEE Antennas and Propagation Society (APS) Distinguished Lecturer for 2020-2022. He is the Editor-in-Chief for ACES Journal, and a past Associate Editor to the Radio Science Journal. Elsherbeni is a Fellow member of IEEE and ACES. In 2009 he was selected as Finland Distinguished Professor by the Academy of Finland and TEKES. He was appointed the Interim Department Head for (EECS) from 2015 to 2016 and from 2016 to 2018 he was the Electrical Engineering Department Head. He then joined the Electrical Engineering and Computer Science (EECS) Department at Colorado School of Mines in August 2013 as the Dobelman Distinguished Chair Professor. He was the Associate Dean of the College of Engineering for Research and Graduate Programs from July 2009 to July 2013 at the University of Mississippi. He advanced to the rank of Associate Professor in July 1991, and to the rank of Professor in July 1997. Elsherbeni joined the faculty at the University of Mississippi in August 1987 as an Assistant Professor of Electrical Engineering. From January to August 1987, he was a PostDoctoral Fellow at Manitoba University. He started his engineering career as a part time Software and System Design Engineer from March 1980 to December 1982 at the Automated Data System Center, Cairo, Egypt. degree in Electrical Engineering from Manitoba University, Winnipeg, Manitoba, Canada, in 1987. degree in Electrical Engineering, all from Cairo University, Cairo, Egypt, in 1976, 1979, and 1982, respectively, and a Ph.D. degree in Electronics and Communications, an honor B.Sc. A 2D finite difference frequency domain problem and a planar array beamforming problem are also presented for comparison of throughput for realistic simulations.Ītef Z. Each of these tests is performed for both single and double precision on the CPU. The compared tasks include basic operations like addition, subtraction, multiplication, and division, along with more complex operations like exponentiation, summation, Fourier transforms, and matrix solving. This paper studies how these programming languages compare in throughput for a variety of tasks when utilizing complex numbers which are common in electromagnetics applications. Both provide simple syntax and debugging tools to make even complicated tasks relatively simple. MATLAB and Python are two common programming languages commonly used in computational electromagnetics. Department of Electrical Engineering Colorado School of Mines, Golden, Colorado, 80120, United StatesĬomputational electromagnetics, MATLAB, python Abstract
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