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The sample path plot reveals nonstationarity.
Thus, as, on any nontrivial sample path.
We call this sequence of data a sample path.
The order in which agents play during an iteration is determined at the start of the sample path, and it remains the same throughout that sample path.
The key idea is to construct a sample path rooted at v, which has a higher probability than the optimal sample path rooted at u.
An execution, or sample path, of GENESIS proceeds in discrete time units called iterations.
The latter, however, changes dynamically as an agent gains or loses customers during a sample path.
Then almost every sample path of (x t)), (y(t)) and (z(t)) is uniformly continuous.
Let be any sample path solution of (3.76); then Lemma 3.39 implies (3.87).
All states visited by the sample path are used in the estimation.
Therefore almost every sample path of (x t)) is uniformly continuous on (tgeq0).
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