Computer Science – Information Theory
Scientific paper
2012-02-03
Computer Science
Information Theory
5 pages, submitted to ISIT2012
Scientific paper
In statistical physics and information theory, although the exponent of the
partition function is often of our primary interest, there are cases where one
needs more detailed information. In this paper, we present a general framework
to study more precise asymptotic behaviors of the partition function, using the
central approximation in conjunction with the method of types.
Mori Ryuhei
Tanaka Toshiyuki
No associations
LandOfFree
Central Approximation in Statistical Physics and Information Theory does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Central Approximation in Statistical Physics and Information Theory, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Central Approximation in Statistical Physics and Information Theory will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-4491