Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation - Couverture souple

Yu, Wenjian; Mascagni, Michael

 
9789811932526: Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation
Couverture souple
ISBN 10 : 9811932522 ISBN 13 : 9789811932526
Editeur : Springer, 2023

Synopsis

The Monte Carlo method is one of the top 10 algorithms in the 20th century. This book is focusing on the Monte Carlo method for solving deterministic partial differential equations (PDEs), especially its application to electronic design automation (EDA) problems. Compared with the traditional method, the Monte Carlo method is more efficient when point values or linear functional of the solution are needed, and has the advantages on scalability, parallelism, and stability of accuracy. This book presents a systematic introduction to the Monte Carlo method for solving major kinds of PDEs, and the detailed explanation of relevant techniques for EDA problems especially the cutting-edge algorithms of random walk based capacitance extraction. It includes about 100 figures and 50 tables, and brings the reader a close look to the newest research results and the sophisticated algorithmic skills in Monte Carlo simulation software.

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À propos de l?auteur

Dr. Wenjian Yu is a Full Professor with the Department of Computer Science and Technology, Tsinghua University, Beijing, China. Dr. Yu's current research interests include physical-level modelling and simulation techniques for IC design, high-performance numerical algorithms, and Big-Data analytics and machine learning. Dr. Yu has authored/coauthored two books and about 200 papers in refereed journals and conferences. He was the recipient of the distinguished Ph.D. Award from Tsinghua University in 2003, the Excellent Young Scientist Award from the National Science Foundation of China in 2014. He received the Best Paper Awards of DATE'2016, ACES'2017 and ICTAI'2019, and 6 Best Paper Award Nominations in ICCAD, DATE, ASPDAC, ISQED and GLSVLSI.

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Éditeur
Springer
Date d'édition
2023
Langue
anglais
ISBN 10 
9811932522
ISBN 13 
9789811932526
Reliure
Broché
Nombre de pages
268
Coordonnées du fabricant
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Autres éditions populaires du même titre

9789811932496: Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation

Edition présentée

ISBN 10 :  9811932492 ISBN 13 :  9789811932496
Editeur : Springer Verlag, Singapore, 2022
Couverture rigide