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...trix problem such that: let x(t) be an initial state vector consisting of counts of classes A, B and C: x(t) = [A(t),B(t),C(t)] T is the stochastic (transition) matrix for these classes consisting of the transition probabilities between each combination of A,B and C: pAA pBA pCA T= pAB pBB pCB pAC pBC pCC By doing matrix multiplication of Tx(t) we can determine the *mean* counts of these classes at t+1 such that: x mean (t+1) = Tx(t) = [A mean (t+1),B mean (t+1),C mean (t+1)] What I want to know is what is a) what is the *distribution* of A(t+1),B(t+1) and C(t+1), and what...

depends on "autoconf: regenerate configure scripts with 4.4 version" This series removes some of the really old deadwood from the tools build and makes some other things which are on their way out configurable at build time with a default depending on how far down the slope I judge them to be. * nuke in tree copy of libaio * nuke obsolete tools: xsview, miniterm, lomount & sv *