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The main reason behind this interest is the capabilities of such technologies to revolutionize human life since they appear as seamlessly integrating classical networks, networked objects and people to create more efficient environments.
Notice that in classical networks made of macro cells only, optimizing any of the above three elements independently can effectively improve the system performance.
Known so far in classical networks only, we have recently extended the concept of the Braess paradox to the mesoscopic world[6].
The Braess paradox, known for traffic and other classical networks, lies in the fact that adding a new route to a congested network in an attempt to relieve congestion can degrade counterintuitively the overall network performance.
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The power system corresponds to the classical network presented in [3] to illustrate the SCUC problem.
According to current shape of cellular network contents, one fourth of the users may be offloaded from the classical network.
A classical network application for this problem would be to choose a set of locations to install relay antennas.
Alexander (2007) in particular has done a very careful study of the different classical network structures, where he examines lattices, small world networks, bounded degree networks, and dynamic networks for each game and learning rule he considers.
We apply classical network ranking metrics, such as Pagerank and closeness and compare their rankings to the lawyers "efficiency" (measured in fraction of cases won).
This motivates us to have a re-look at classical network optimization problems and design algorithms to solve them in this new framework.
The shortest path problem is a classical network optimization problem which has a wide range of applications in various fields of science and engineering.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com