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A bounded space algorithm has the property that it only has a constant number of active bins available to accept items at any point during processing.
The motivation is from many scenarios encountered in both natural systems and engineering applications that collective motions are always confined in a bounded space.
Two variants of robust random bit generation solutions are presented: an unbounded space solution and a bounded space solution which incurs a small bias.
Very recently, the conventional flocking formulation and algorithms have been generalized to address the issues caused by bouncing boundaries of a bounded space.
However, considering that P 0 and λ lie in a bounded space Φ u × Θ u, a multidimensional exhaustive search can be used to numerically solve the proposed cross-layer optimization problem.
Given the sensory system is a bounded space, the locally connected network has a large sensible space to memorize more signals.
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For a numerical experiment, we choose an adaptive bounded space to problem (1.2).
A two-dimensional bounded space is assumed to set for our dynamic and distributed trust computation, so that the nodes move freely and randomly around the network.
In contrast, Algorithm 3 finds the optimal overlay transmission parameters by searching over three-real valued parameters defined on a closed and bounded space.
In the tightly bounded space of an old city, history presents itself archaeologically, each generation building directly atop the one before.
Consider the S-HDS social diffusion model ΣS-HDS, diff evolving on a bounded state space Q × X.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com