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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811932492 ISBN 13: 9789811932496
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In den WarenkorbPaperback. Zustand: Brand New. 267 pages. 9.25x6.10x0.56 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 267 pages. 9.25x6.10x0.79 inches. In Stock.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811932522 ISBN 13: 9789811932526
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The Monte Carlo method is one of the top 10 algorithms in the 20thcentury. 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.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811932492 ISBN 13: 9789811932496
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The Monte Carlo method is one of the top 10 algorithms in the 20thcentury. 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.