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Linear regression also has in our context a simple communication-theoretic interpretation: in the high SINR regime, linear functions approximate well the Shannon capacity formula, and y becomes simply the best approximation of the network throughput as a optimal weighted sum of the individual Shannon capacity estimates.
Nevertheless, the assumed unit disk graph model is only a rough approximation of the network connectivity.
By exploiting principles borrowed from compressed sensing, we show that the proposed technique can achieve a good approximation of the network data at the sink node with only a few packets received and that this approximation gets progressively better as the number of received packets increases.
Although automatic tools do provide a first approximation of the network structure, human analysis remains necessary for curating all the relevant information.
The approximation of the network estimate for a single comparison by the evidence of a subnet and the visualisation of the decomposition into independent paths provide the applicability of a graphical validation instrument that is known from classical meta-analysis.
Below we show that the new PG generation approach in combination with the proposed ranking scheme may already deliver a valuable approximation of the network itself but can often be further improved by TR techniques.
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The resulting dichotomized adjacency matrix can be considered as an unweighted network approximation of the weighted network.
In this way, the whole procedure is able to recover a good approximation of the true network topology, especially for metabolic networks.
The choice of locations allows one to determine the optimal flows in this network, as required by physical requirements which provide us with an approximation of the distribution network.
The proposed Bi-Level optimization led to a good approximation of the original network, allowing to overcome the limitation on the available information, often present in metabolic network models.
Whereas the rotations match quite well the couple stress and skew-symmetric stress differ Even though no additional fitting was done the Cosserat continuum matches well with the beam network, so that we conclude that the obtained parameter combination gives a reasonable approximation of the beam network and can be regarded as an informed way to determine Cosserat material properties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com