Monte Carlo Methods and the Computers of the Future (Classic Reprint)
Language: English
Published by Forgotten Books, 2018
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
£ 13.34
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand. This book presents an in-depth exploration of the Monte Carlo method and its applications in various scientific and engineering disciplines. The author meticulously analyzes the nuances of Monte Carlo algorithms, exploring their strengths, weaknesses, and optimal use cases. This book comprehensively covers a wide range of Monte Carlo methods, including random walk techniques, transport simulations, and spin calculations. It delves into the fundamental principles, algorithmic characterizations, and architectural considerations of each method, providing valuable insights for researchers and practitioners. Through a historical perspective, the author situates the Monte Carlo method within the broader context of numerical methods and highlights its historical importance. In addition to discussing established techniques, the book also explores emerging trends and potential future developments in Monte Carlo methods, emphasizing their significance in advancing scientific discovery and technological innovation. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
Seller Inventory # 9781332874309_0
- Title
- Monte Carlo Methods and the Computers of the Future (Classic Reprint)
- Author
- Malvin H. Kalos
- Publisher
- Forgotten Books
- Publication year
- 2018
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1332874304
- ISBN 13
- 9781332874309
- Seller catalogs
- Audits and Surveys
Unlock the power of randomness for solving hard scientific problems .
Learn how Monte Carlo methods turn guesswork into reliable numbers and guide the design of parallel computing systems. This book explains why random sampling is a practical tool for high-dimensional problems, from statistical physics to radiation transport. It discusses algorithms, hardware considerations, and how to balance accuracy, speed, and architecture. Readers will see how theory meets real-world computing challenges, with examples and insights that bridge science and computer design.
- How Monte Carlo sampling converges to correct averages and how many samples you typically need.
- Strategies for parallelizing Monte Carlo, including vectorization and multi-threading, without sacrificing flexibility.
- Architectural ideas for large, fast machines, and how to match algorithms to hardware.
- Illustrative discussions of two key problem domains: Ising models in statistical mechanics and transport simulations through matter.
"Synopsis" may belong to another edition of this title.
About the Author
Paula A. Whitlock is Professor of Computer and Information Sciences at Brooklyn College, the City University of New York. She received her BS at the State University of New York at Stony Brook and her PhD at Wayne State University. She was a research scientist for many years at the Courant Institute of Mathematical Sciences, New York University. Her research interests include the development of Monte Carlo methods and their application to the study of condensed matter systems. She is also interested in the development of applications in distributed computing.
"About the title" may belong to another edition of this title.
Forgotten Books
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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Forgotten Books publishes hundreds of thousands of rare and classic books.
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value.
The digital edition of all books may be viewed before purchase if you request a sample.
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