It takes the average reader 5 hours and 4 minutes to read Approximating Integrals via Monte Carlo and Deterministic Methods by Michael Evans
Assuming a reading speed of 250 words per minute. Learn more
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, and although the focus is on approximating higher- dimensional integrals the lower-dimensional case is also covered. Included in the book are asymptotic techniques, multiple quadrature and quasi-random techniques as well as a complete development of Monte Carlo algorithms. For the Monte Carlo section importance 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 hence provides an accessible textbook and reference for researchers in a wide variety of disciplines.
Approximating Integrals via Monte Carlo and Deterministic Methods by Michael Evans is 302 pages long, and a total of 76,104 words.
This makes it 102% the length of the average book. It also has 93% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 55 minutes to read Approximating Integrals via Monte Carlo and Deterministic Methods aloud.
Approximating Integrals via Monte Carlo and Deterministic Methods is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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