Stochastic Simulation: Algorithms and Analysis (2007) (Stochastic Modelling and Applied Probability #57)
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- Synopsis
- Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying mathematical analysis of the convergence properties of the methods discussed. The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focuses on general methods; the second half discusses model-specific algorithms. Exercises and illustrations are included.
- Copyright:
- 2007
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9780387690339
- Related ISBNs:
- 9780387306797
- Publisher:
- Springer New York
- Date of Addition:
- 02/09/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Business and Finance, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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