stationary distribution


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stationary distribution

[′stā·shə‚ner·ē ‚dis·trə′byü·shən]
(physics)
A time-independent distribution of a scalar quantity.
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In section 2, a two dimensional queue length process is represented by QBD process such that it is amenable for matrix analytical treatments and thus the stationary distribution of the queue length process and expected queue lengths are obtained.
The stationary distribution [pi] conveys useful information about the underlying data structure of the graph, and it is thus exploited in vision applications [14, 34].
In Section 3, we show that the stochastic model (2) has a unique global positive solution; furthermore, we show that the stochastic model (2) has a stationary distribution under certain conditions.
The main research subjects include the existence and uniqueness of positive solution with any positive initial value in probability mean, the persistence and extinction of the disease in probability mean, the asymptotical behaviors around the disease-free equilibrium and the endemic equilibrium of the deterministic models, and the existence of the stationary distribution as well as ergodicity.
The basic idea of MCMC method is to construct a Markov chain with stationary distribution [pi]([theta]+x).
He assured due attention towards welfare of the teaching community while addressing school bags, uniform and stationary distribution ceremony among orphans and needy students, arranged by "Shuba Motasreen-e-Taleem" of Tanzeem-e-Asatiza Pakistan at Nishtar Hall.
Multi-faceted product offering includes both digital and off-set printing, graphic design, promotional products, CD/DVD duplication, high-end stationary distribution, and is a Constant Contact Solutions Provider.
Subject of this award is to provide stationary distribution services in rail passenger transport (regional rail) in the service area of ?
0] cannot be compensated by any stationary distribution of charges.
j=0] of L, which is proportional to the stationary distribution, is equal to the array of n-th Eulerian number [{E(n,j)}.
Figure 2 depicts the stationary distribution of the main variables for the same example analyzed in Figure 1.
i] is the unique stationary distribution vector for the stochastic Schur complement [S.