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

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

Michael Mascagni / Wenjian Yu

47,95 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2022
Materia
Ingeniería: general
ISBN:
9789811932519
47,95 €
IVA incluido
Disponible

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Sobre IBD

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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Otros libros del autor

  • Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation
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    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 functiona...
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