Monte Carlo strategies in scientific computing
by Jun S. Liu
"This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians.
It can also be used as the textbook for a graduate-level course on Monte Carlo methods. Many problems discussed in the later chapters can be potential thesis topics for master's or Ph.D. students in statistics or computer science departments."--BOOK JACKET.
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Subjects
Monte Carlo method, Science, Statistical methods| Edition | Availability |
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1
Monte Carlo Strategies in Scientific Computing
2013, Springer London, Limited
in English
0387763716 9780387763712
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2
Monte Carlo Strategies in Scientific Computing
October 17, 2002, Springer
in English
0387952306 9780387952307
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3
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Book Details
Edition Notes
Includes bibliographical references (p. [313]-332) and indexes.
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- Created October 11, 2008
- 9 revisions
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| November 14, 2023 | Edited by MARC Bot | import existing book |
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