A.R. Conn, Nick Gould, et al.
Mathematics of Computation
The Beauchemin model is a simple particle-based description of stochastic lymphocyte migration in tissue, which has been successfully applied to studying immunological questions. In addition to being easy to implement, the model is also to a large extent mathematically tractable. This article provides a comprehensive overview of both existing and new analytical results on the Beauchemin model within a common mathematical framework. Specifically, we derive the motility coefficient, the mean square displacement, and the confinement ratio, and discuss four different methods for simulating biased migration of pre-defined speed. The results provide new insight into published studies and a reference point for future research based on this simple and popular lymphocyte migration model. © 2013 Textor et al.; licensee BioMed Central Ltd.
A.R. Conn, Nick Gould, et al.
Mathematics of Computation
Hannaneh Hajishirzi, Julia Hockenmaier, et al.
UAI 2011
David Cash, Dennis Hofheinz, et al.
Journal of Cryptology
Satoshi Hada
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences