Monte-Carlo Methods and Stochastic Processes:From Linear to Non-Linear
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Monte-Carlo Methods and Stochastic Processes:From Linear to Non-Linear
Book Details:
• Author: Emmanuel Gobet
• Brand: CRC Press
• Binding: Paperback
• Number of Pages: 336
• Release Date: 09-01-2025
• EAN: 9781041051190
• Language: English
About the Book:
Advanced Monte-Carlo Methods for Stochastic Processes by Emmanuel Gobet is a comprehensive guide that explores the latest advancements in Monte-Carlo methods for simulating stochastic processes. Set to release on 09-01-2025, this paperback edition offers 336 pages of in-depth analysis on the application of Monte-Carlo methods in various fields such as finance, engineering, biology, and more.
This book covers both linear and nonlinear problems, providing readers with a deeper understanding of the mathematical tools and computational methods used in modern stochastic simulations. It starts with the fundamentals and progressively introduces more advanced techniques, making it suitable for both newcomers and experienced researchers in the field.
Gobet’s clear and accessible writing style ensures that even complex topics are explained in a way that is easy to understand, while maintaining a high level of rigor. This book is a must-have resource for anyone involved in research or applications of Monte-Carlo methods, offering valuable insights into the practical implementation of these methods for solving real-world problems.
