Hello, Is there anything available which could help with the following?
I have a true size distribution of particles which I wish to selct from and place randomly, and non-overlapping into a 3-D space. I then wish to slice through this space repeatedly at random (or perhaps systematically) and generate corresponding 2-D size distributions. A variant I wish to try is a clustering factor, which increases the probability of particles being near to each other and perhaps a periodicity or wavelegth factor, to account for spatial distributions where the particles have formed from a solidification process. The idea is to create a test bench for sampling schemes, so their efficiency and typical errors can be studied. I am aware of some 'analytical' solutions to similar problems, but would have a number of use for a numerical analogue. Thanks, John Butler -- * To post a message to the list, send it to [EMAIL PROTECTED] * As a general service to the users, please remember to post a summary of any useful responses to your questions. * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list * Support to the list is provided at http://www.ai-geostats.org
