Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation
Language: English
Published by Springer Nature Singapore, 2023
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on using the Monte Carlo method for solving deterministic PDEsPresents a Monte Carlo algorithm for a special hyperbolic PDEProvides fast random walk methods for solving elliptic and parabolic PDEsDr. Wenjian Yu is a  .
Seller Inventory # 1027290673
- Title
- Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation
- Author
- Wenjian Yu|Michael Mascagni
- Publisher
- Springer Nature Singapore
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9811932522
- ISBN 13
- 9789811932526
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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