World Scientific Publishing Company
Partial Differential Equations : Methods, Applications, and Theories
$94.53
Springer
Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation
Product Code:
9789811932526
ISBN13:
9789811932526
Condition:
New
$117.02
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.
| Author: Wenjian Yu, Michael Mascagni |
| Publisher: Springer |
| Publication Date: Sep 04, 2023 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 9811932522 |
| ISBN-13: 9789811932526 |
Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation
$117.02
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.
| Author: Wenjian Yu, Michael Mascagni |
| Publisher: Springer |
| Publication Date: Sep 04, 2023 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 9811932522 |
| ISBN-13: 9789811932526 |
Related Products
World Scientific Publishing Company Pte. Limited
Partial Differential Equations : Methods, Applications and Theories (Second Edition)
$63.85
