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Metastability is the idea that there are multiple stable configurations a system can assume within a larger possibility space; the shape that system takes at the moment may simply be one among many that are potentially available to it.
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For a given system configuration, a system model estimates the cycles per instruction that the system would incur while running a given workload.
A self-stabilizing protocol guarantees that starting from any arbitrary initial configuration, a system eventually comes to satisfy its specification and keeps the specification forever.
The system was evaluated in two configurations: a privacyoriented system with CDMA operation and a centralized system with TDMA operation.
(Özkan B, Özgören MK. Actuator related singular configurations of a system of two cooperating SCARA manipulators.
Three experimental configurations, a control system with no heat transfer enhancement and systems augmented with circular and longitudinal fins have been studied.
Here knowledge about the future as a degree of belief is measured in terms of probability, which in its turn is explained in terms of the number of configurations a deterministic system in the world can have.
In a previous work (Sanchez et al. 2013), we presented a heuristic search algorithm called CSA (Configuration Selection Algorithm 1 for solving the optimization problem resulting from selecting a valid configuration of a system based on feature models.
Simulation optimization refers to methods that search the design space (i.e., the set of all feasible system configurations) to find a system configuration (also called a design point) that gives the best performance.
Figure 6 MSEs, system BERs and sum capacities for configuration B. (a) System MSEs.
Thus, in Bohmian mechanics the configuration of a system of particles evolves via a deterministic motion choreographed by the wave function.
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