Monte Carlo integration is used to estimate the integral 2 4 I = 5 dz dy dx by generating random points from a uniform distribution in the interval [0, 2] × [0,2] × [0, 4]. Suppose 1000 points are generated and 750 of these points land inside the domain of integration, 2. a. The volume of the region (parallelpiped) where the points are generated is V = 12 b. The average of the function over the parallelpiped where the points are generated is < f >= 5 c. The approximation to the integral is I 2 60

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
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ChapterA: Appendix
SectionA.2: Geometric Constructions
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Monte Carlo integration is used to estimate the integral
4
I =
5 dz dy dx
ху
by generating random points from a uniform distribution in the interval [0, 2] x [0, 2] × [0, 4]. Suppose 1000
points are generated and 750 of these points land inside the domain of integration, 2.
a. The volume of the region (parallelpiped) where the points are generated is V
12
b. The average of the function over the parallelpiped where the points are generated is < ƒ >= 5
c. The approximation to the integral is I 2
60
Transcribed Image Text:Monte Carlo integration is used to estimate the integral 4 I = 5 dz dy dx ху by generating random points from a uniform distribution in the interval [0, 2] x [0, 2] × [0, 4]. Suppose 1000 points are generated and 750 of these points land inside the domain of integration, 2. a. The volume of the region (parallelpiped) where the points are generated is V 12 b. The average of the function over the parallelpiped where the points are generated is < ƒ >= 5 c. The approximation to the integral is I 2 60
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