In random tree aggregation, a new branch can be
added anywhere. Each new branch placement is selected randomly from among the nodes already present.
-- speaking of rearranging
molecules... did you see where
Professor Eric Kolokoff has
developed a new kind of graphene-
based digital paper...
They back against the table. Larry stares at the screen.
Consider a system that is always in one of n states, numbered 1 through n. Every time a clock ticks, the
system updates itself according to an n×nmatrix of transition probabilities, the (i,j)th entry of which gives the probability that the
system moves from state i to state j at any clock tick. A Markov chain is a system like this, in which
the next state depends only on the current state and not on previous states. Powers of the transition matrix approach a
matrix with constant columns as the power increases. The number to which the entries in the ith column converge
is the asymptotic fraction of time the system
spends in state i.
-- similarly, the data you
presented appears to be an average
distribution of police work.
ON SCREEN - data appears...
Until, like the stereogram, you
continue to stare or look at the
same data over and over again...
And a hidden pattern emerges.