| Scilab Reference Manual | 
|---|
classmarkov — recurrent and transient classes of Markov matrix
[perm,rec,tr,indsRec,indsT]=classmarkov(M)
| M | : real N x N Markov matrix. Sum of entries in each row should add to one. | 
| perm | : integer permutation vector. | 
| rec, tr | : integer vector, number (number of states in each recurrent classes, number of transient states). | 
| indsRec,indsT | : integer vectors. (Indexes of recurrent and transient states). | 
Returns a permutation vector perm such that
M(perm,perm) = [M11 0 0 0 0   0]
               [0 M22 0 0     0]
               [0 0 M33       0]
               [      ...      ]
               [0 0       Mrr 0]
               [* *        *  Q]
   
    Each Mii is a Markov matrix of dimension rec(i) i=1,..,r. Q is sub-Markov matrix of dimension tr. States 1 to sum(rec) are recurrent and states from r+1 to n are transient. One has perm=[indsRec,indsT] where indsRec is a vector of size sum(rec) and indsT is a vector of size tr.
//P has two recurrent classes (with 2 and 1 states) 2 transient states P=genmarkov([2,1],2,'perm') [perm,rec,tr,indsRec,indsT]=classmarkov(P); P(perm,perm)
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