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Transition probabilities, usage

The SHY model divides the usage profile into two parts, namely, individual profile and hierarchical profile. The individual profile describes the usage for a single service, i.e., how a user behaves when using the available services. All users of a specific user type have the same individual profile. This profile refers to the transition probabilities on the behavior level. [Pg.322]

The statistical phase completes the Markov chain by assigning probabilities to the transitions in the chain. The probabilities represent the expected usage in terms of relative frequencies. Test cases are then selected by running through the Markov model. [Pg.322]

We briefly describe the usage of grand canonical transition matrix Monte Carlo simulation (GC-TMMC) for obtaining the interfacial tension along the contact line. GC-TMMC simulations are conducted in a grand canonical ensemble at a constant chemical potential p, volume V, and temperature T. Microstate probability in this ensemble is represented as... [Pg.223]

Practical usage of presented above considerations allows to determine an influence of transition rate from the impendency over safety state into the state of fldl ability ppzi, and transition rate from the unreliability of safety state into the state of full ability ppz, on value of probability of the system stay at full abUity state. Transition rates ppzi and ppz shall be understood as inverted times tpzi and tpz, that determine time of restoration of both systems fldl functionality. [Pg.113]


See other pages where Transition probabilities, usage is mentioned: [Pg.207]    [Pg.7]    [Pg.180]    [Pg.251]    [Pg.95]    [Pg.150]    [Pg.56]    [Pg.100]    [Pg.170]    [Pg.8]    [Pg.256]    [Pg.109]   
See also in sourсe #XX -- [ Pg.670 ]




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