How to use monte carlo method : importance sampling ?

Click For Summary
SUMMARY

The discussion focuses on applying the Monte Carlo method with Importance Sampling to calculate a specific double integral: integral(0 to infinity) integral(0 to infinity) 1/(2 * pi * sqrt((1 + x^2 + y^2)^3))dxdy. Participants emphasize the importance of visualizing the 3D shape related to the integral for better understanding and suggest using resources like Wolfram Alpha for guidance. The conversation confirms that Monte Carlo integration in 2D is straightforward and can be extended to 3D applications.

PREREQUISITES
  • Understanding of Monte Carlo methods
  • Familiarity with Importance Sampling techniques
  • Basic knowledge of double integrals
  • Ability to visualize 3D geometric shapes
NEXT STEPS
  • Research Monte Carlo integration techniques in 3D
  • Explore Importance Sampling strategies for complex integrals
  • Utilize Wolfram Alpha for integral evaluation and visualization
  • Study examples of Monte Carlo methods applied to real-world problems
USEFUL FOR

Mathematicians, data scientists, and anyone interested in numerical integration techniques, particularly those looking to apply Monte Carlo methods in practical scenarios.

cristinelm
Messages
1
Reaction score
0
Hello.I have a little problem with applying a Monte Carlo method : Importance Sampling.I need to calculate :

integral(0 to infinity) integral(0 to infinity) 1/(2 * pi * sqrt((1 + x^2 + y^2)^3))dxdy

Can somebody help me ? Thanks in advance.
 
Physics news on Phys.org
cristinelm said:
Hello.I have a little problem with applying a Monte Carlo method : Importance Sampling.I need to calculate :

integral(0 to infinity) integral(0 to infinity) 1/(2 * pi * sqrt((1 + x^2 + y^2)^3))dxdy

Can somebody help me ? Thanks in advance.
Is this just a thought experiment, or have you booked computer time to actually carry it out? :smile:

Start by looking at the 3D shape whose volume you are wanting to estimate. Also, the result at the very foot of this wolfram alpha presentation seems almost the answer you should be aiming towards. :wink:

Monte Carlo integration in 2D is easy to grasp, along with the concept of Importance Sampling. I think I can see how it would apply to 3D.
 
Last edited:

Similar threads

Replies
1
Views
1K
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
Replies
67
Views
8K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
7
Views
4K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 12 ·
Replies
12
Views
3K
  • · Replies 3 ·
Replies
3
Views
3K