How to Maximize Areal Density of Randomly Sized Circles in a Square?

  • Thread starter Thread starter ManuelCalavera
  • Start date Start date
Click For Summary
SUMMARY

This discussion focuses on maximizing the areal density of randomly sized circles within a square of side length W, where the circles' diameters follow a Gaussian distribution. The user seeks to determine the optimal mean diameter that maximizes the number of non-overlapping circles fitting within the square. Key points include the necessity of defining whether the goal is to maximize the number of circles or the total area covered, and the implications of selecting a minimum mean value for the diameter. The consensus suggests that the minimum mean value may indeed yield the highest areal density.

PREREQUISITES
  • Understanding of Gaussian distribution and its parameters (mean and standard deviation).
  • Knowledge of geometric packing principles, particularly for circles in a square.
  • Familiarity with concepts of areal density and optimization in mathematical contexts.
  • Basic mathematical formulation skills to express and analyze optimization problems.
NEXT STEPS
  • Research the mathematical principles of circle packing in two-dimensional spaces.
  • Explore optimization techniques for functions involving random variables, particularly in geometric contexts.
  • Study the implications of varying mean values in Gaussian distributions on packing density.
  • Examine case studies or simulations of random circle distributions to visualize areal density outcomes.
USEFUL FOR

Mathematicians, statisticians, engineers, and physicists interested in optimization problems, particularly those involving geometric packing and random distributions.

ManuelCalavera
Messages
3
Reaction score
0
Hi,

I'm not sure if this is the right forum to put this question in as it's not a homework problem but it is a math/statistics problem. I'm really not sure how to even start.

So the problem is this:
You have a square with side lengths W and circles that have diameter's that are randomly distributed according to the Gaussian distribution. You can choose the mean of the distribution but the standard dev is set. There is a minimum mean value.

You want to find the mean value of the diameter that will maximize the amount of circles you can fit in the square. The circles can't overlap and they must be whole circles. I'm almost sure it is the minimum value so I guess I just have to prove that.

My background is in engineering/physics so I don't have a first principles math education so I'm really not sure how to even begin the problem.

Thanks for any help (and sorry if this is in the wrong place)
 
Physics news on Phys.org
ManuelCalavera said:
Hi,

I'm not sure if this is the right forum to put this question in as it's not a homework problem but it is a math/statistics problem. I'm really not sure how to even start.

So the problem is this:
You have a square with side lengths W and circles that have diameter's that are randomly distributed according to the Gaussian distribution. You can choose the mean of the distribution but the standard dev is set. There is a minimum mean value.

You want to find the mean value of the diameter that will maximize the amount of circles you can fit in the square. The circles can't overlap and they must be whole circles. I'm almost sure it is the minimum value so I guess I just have to prove that.

My background is in engineering/physics so I don't have a first principles math education so I'm really not sure how to even begin the problem.

Thanks for any help (and sorry if this is in the wrong place)

There are several issues at fault with your formulation, but perhaps they can be corrected, or at least, clarified.
(1) By "quantity of circles", do you mean number of circles, or total area covered by circles?
(2) Are all the circles (a) identical in size, or (b) are they a random sample of independently-chosen circles that are all drawn from the same Gaussian distribution of radius?
(3) If the circles' radii are random, the area covered is a random quantity, so what can you possibly mean by maximizing it? A similar objection occurs if you want to maximize the number of circles that fit in the square.
 
Ray Vickson said:
There are several issues at fault with your formulation, but perhaps they can be corrected, or at least, clarified.
(1) By "quantity of circles", do you mean number of circles, or total area covered by circles?
(2) Are all the circles (a) identical in size, or (b) are they a random sample of independently-chosen circles that are all drawn from the same Gaussian distribution of radius?
(3) If the circles' radii are random, the area covered is a random quantity, so what can you possibly mean by maximizing it? A similar objection occurs if you want to maximize the number of circles that fit in the square.
Hi,

Thanks for replying. To answer your questions:

1) The areal density, the number of circles per unit area
2) The assumption is that they are taken from a random sample of independently chosen circles that are drawn from the same Gaussian distribution, with a chosen mean and set sigma.
3) You have some discrete amount of circles whose radii is sampled from a gaussian distribution. You're trying to pick a mean value to maximize the areal density. And there is a minimum mean value you can choose.

I think there might still be issues with the formulation of the problem. I think you might be able to get around some of them because I'm almost sure the minimum mean value will always minimize the areal density regardless of how circles are chosen or are placed in the square.

Thanks again
 

Similar threads

Replies
1
Views
1K
Replies
9
Views
4K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
Replies
3
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 30 ·
2
Replies
30
Views
5K
Replies
3
Views
2K