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Algorithm 3 uses the species tree as the backbone for the network and adds to it the most significant clusters (i.e., horizontal gene transfer events) obtained after computing the weights of the gene tree clusters in order to build the weighted consensus horizontal gene transfer network.
We describe two relative span weighted localization algorithms, both computing a weighted centroid as defined in (2), but with novel approaches for computing the weights assigned to each receiver coordinates.
When computing the weights exactly is too complex, we propose an approximation which has a weaker guarantee of asymptotic unbiasedness.
For Euler systems of gas dynamics, we suggest computing the weights from pressure and entropy instead of the characteristic values to simplify the costly characteristic procedure.
First, we derive an expression for computing the weights without considering the interference power.
A pre-estimate (widehat {B}_{text {pre}}(mu,k)) is obtained for computing the weights.
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jHoles [162] is a Java library for computing the weight rank clique filtration for weighted undirected networks [89].
Gaussian smoothing is the process of computing the weight average of surrounding pixels.
The angle bin size was 5° and we had 72 different values for computing the weighting function.
To put the model into practice, we defined a family of Gaussian functions –used for computing the weight between two elements.
From a purely graph-theoretic point of view, the problem is simply finding a minimum-weight spanning tree through a graph with weighted edges, where domain-specific information is used to compute the weights.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com