Monte Carlo Methods and the Computers of the Future (Classic Reprint) - Softcover

Malvin H. Kalos

Softcover

ISBN 10: 1332874304 ISBN 13: 9781332874309

Publisher: Forgotten Books, 2018

Synopsis

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.

Ideal for scientists, engineers, and students who want a practical view of Monte Carlo methods and the computer architectures that make them work.

About this title

About the Author

Malvin H. Kalos is a physicist at the Lawrence Livermore National laboratory. He received his PhD in Physics at the University of Illinois in 1952. After postdoctoral research at Illinois and Cornell, he joined the staff of United Nuclear Corporation. In 1964, he became a Senior Research Scientist, later Research Professor and then Professor of Computer Science at the Courant Institute of Mathematical Sciences, New York University. In 1989, he returned to Cornell as Professor of Physics and Director of the Theory Center. His research interests include Monte Carlo Methods and computational many-body physics. He is the recipient of the 1989 Feenberg Memorial Medal for advancement of many-body theories from first principles.
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.

Edition details

• Publisher: Forgotten Books
• Publication date: 2018
• Language: English
• ISBN 10: 1332874304
• ISBN 13: 9781332874309
• Binding: Paperback
• Number of pages: 39