HOME | BESTSELLERS | NEW RELEASES | PRICE WATCH | FICTION | BIOGRAPHIES | E-BOOKS |
Approximating Integrals via Monte Carlo and Deterministic Methods (Oxford Statistical Science Series) Book
* Excludes Voucher Code Discount Also available Used from £N/A
-
Product Description
This book is designed to introduce graduate students and researchers to the primary methods useful for approximating integrals. The emphasis is on those methods that have been found to be of practical use, focusing on approximating higher- dimensional integrals with coverage of the lower-dimensional case as well. Included in the book are asymptotic techniques, multiple quadrature and quasi-random techniques and a complete development of Monte Carlo algorithms. For the Monte Carlo section important sampling methods, variance reduction techniques and the primary Markov Chain Monte Carlo algorithms are covered. This book brings these various techniques together for the first time, and provides an accessible textbook and reference for researchers in a wide variety of disciplines.
- 0198502788
- 9780198502784
- Michael Evans, Timothy Swartz
- 23 March 2000
- OUP Oxford
- Hardcover (Book)
- 288
Would you like your name to appear with the review?
We will post your book review within a day or so as long as it meets our guidelines and terms and conditions. All reviews submitted become the licensed property of www.find-book.co.uk as written in our terms and conditions. None of your personal details will be passed on to any other third party.
All form fields are required.