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The graphical lasso algorithm was used to compute the network topologies offering a very fast and easy computational set up, to provide a large range of candidate network topologies.
Significantly, the biologically active and inactive structures determined experimentally matched well the structures predominant in each computational set.
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The objective of the present study is to determine the strengths and weaknesses of each modelling approach given the same initial conditions and computational set-up.
It is noticeable that throughout the various IOP cases examined, and under the specific computational set-up used in the simulations for fast-response needs, there is no clear superiority of one model over another.
In addition, for the LES model, which in theory should provide the most realistic representation of the flow field, it appears that further to the sub-optimal computational set-up, as well as the uncertainty and natural variability persistent in the real world, has resulted in diminished performance.
The models were run with identical inlet and boundary conditions using the same grid resolution; the choice of the specific computational set-up reflects demands for fast-response models, although it may be a sub-optimal choice for the more complex models.
A computational setting for the Immersed Boundary Method employing an adaptive mesh refinement is presented.
The computational setting follows the experiment designed by Lee and Choi (2015).
The next section is devoted to the description of the computational setting in which we study the service selection.
These reconstructed functional forms are then used to augment the closure model in a predictive computational setting.
Genetic algorithms are a class of heuristic search techniques that apply basic evolutionary operators in a computational setting.
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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