
Explorations in Monte Carlo Methods
$142.49
- Hardcover
280 pages
- Release Date
15 June 2024
Summary
Mastering Monte Carlo: A Practical Guide to Simulation and Problem Solving
Monte Carlo Methods stand as indispensable computational tools, empowering efficient algorithms to tackle a diverse spectrum of scientific and engineering challenges. This book delves into these methods, exploring applications in simulation, optimization, finance, statistical mechanics, birth and death processes, Bayesian inference, quadrature, gambling systems, and beyond.
Designed for students in en…
Book Details
ISBN-13: | 9783031559631 |
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ISBN-10: | 3031559630 |
Series: | Undergraduate Texts in Mathematics |
Author: | Franklin Mendivil, Ronald W. Shonkwiler |
Publisher: | Springer International Publishing AG |
Imprint: | Springer International Publishing AG |
Format: | Hardcover |
Number of Pages: | 280 |
Edition: | 2nd |
Release Date: | 15 June 2024 |
Weight: | 500g |
Dimensions: | 235mm x 155mm |
What They're Saying
Critics Review
“This book is a joy to read cover to cover. Firstly, it is comprehensive in its treatment of the topics covered; containing interesting combination of techniques and encyclopaedic knowledge (on probability and number generators) that is hard to find in just (at an understandable level) one place elsewhere. … The book is littered with excellent, exciting and accessible … .” (physicsbookreviewer.blogspot.com, January 29, 2025)
About The Author
Franklin Mendivil
Ronald W. Shonkwiler is professor emeritus at Georgia Institute of Technology School of Mathematics. He received his PhD in 1970. His areas of expertise include: stochastic optimization, computer simulation, Monte Carlo numerical methods, mathematical biology, and reproducing Kernel Hilbert spaces.
Franklin Mendivil is a professor at Acadia University in Nova Scotia. He received his BSCE in Civil Engineering and his PhD in 1996 at Georgia Institute of Technology. In addition to the first edition of this text, Professor Mendivil co-authored “Fractal-Based Methods in Analysis” 2012.
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