Scilab Function
Last update : 23/10/2007
genmarkov - generates random markov matrix with recurrent and transient classes
Calling Sequence
-
M=genmarkov(rec,tr)
-
M=genmarkov(rec,tr,flag)
Parameters
-
rec
: integer row vector (its dimension is the number of recurrent classes).
-
tr
: integer (number of transient states)
-
M
: real Markov matrix. Sum of entries in each row should add to one.
-
flag
: string
'perm'
. If given, a random permutation of the states is done.
Description
Returns in M a random Markov transition probability matrix
with
size(rec,1)
recurrent classes with
rec(1),...rec($)
entries respectively and tr transient states.
Examples
//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)
See Also
classmarkov
,
eigenmarkov
,