Approximating integrals via Monte Carlo and deterministic methods
Michael Evans, Tim Swartz
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.
سب زمرہ:
سال:
2000
اشاعت:
1st
ناشر کتب:
Oxford University Press
زبان:
english
صفحات:
298
ISBN 10:
0198502788
ISBN 13:
9780198502784
سیریز:
Oxford statistical science series 20
فائل:
DJVU, 2.69 MB
IPFS:
,
english, 2000
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