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)
<< chsolve | coff >> |