报告人：Mohammad Al-Khaleel
报告地点：腾讯会议
报告时间：2021年5月21日星期五20:30-21:30
邀请人：
报告摘要：
Using the classical waveform relaxation method for solving large systems of ordinary differ- ential equations in parallel leads to a slow and non-uniform convergence over the time interval for which the equations are integrated. To improve performance, a new class of waveform relaxation methods known as optimized waveform relaxation algorithms were developed which greatly improve the convergence by using new transmission conditions. In this talk we review the classical, optimal and optimized WR algorithms for VLSI circuits.
会议ID：869 999 366
主讲人简介：
Dr. Mohammad Al-Khaleel received an MSc in Numerical Analysis and a PhD in Scientific Computing-Numerical Analysis from McGill University, Montreal, QC, Canada, in 2003 and 2007, respectively. In 2007, he became an associate professor of mathematics with the Department of Mathematics, Yarmouk University, Jordan, and based on his achievements in research and teaching he was promoted to professor. In 2016 he moved to Khalifa University of Science and Technology, UAE. During his career, Dr. Al-Khaleel has published research papers in well-known journals such as SIAM Journal of Numerical Analysis and others.
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