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Traditional control design approaches consider a fixed operating point in the hope that the resulting controller is robust enough to stabilize the system for different operating conditions.
additionally RAP's are inherently complex and classified as NP-Hard, as a result most proposed approaches, consider a set of simplified assumptions.
On the other hand, microscopic approaches consider a granular material as an assembly of individual particles interacting with each other at micro-scale (i.e., particle-scale), and the physical quantities under study are forces and displacements.
However, typical multithreading approaches consider a cooperative environment, which is not the case in network virtualization.
These approaches consider a video sequence as the root node of a tree where the bottom nodes correspond to individual tracks.
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Current software architecture approaches consider an interaction point as an atomic element in the specification of interconnections, despite the complexity of its structure and the attached behavior.
This article analyses these two approaches considering a simple and common case.
Interestingly, only few approaches provide measures of uncertainty and none of the approaches considers a potential correlation between benefit and harm outcomes (joint distribution).
For a convincing demonstration of the power of this approach, consider a main course of striped bass.
To help illustrate such approach, consider a solar farm composed of Stirling engines covering an area of 100 squared miles.
To exemplify this approach, consider a decision whether or not to reinforce a bridge before it is being used for a single, very heavy transport.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com