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It allows to computing the soil temperature profile at the surface and at various depths and the air temperature distribution inside the EAHE.
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It allows to compute efficiently turbulent premixed flames with a finite thickness in low-Mach flows.
To answer these questions, the adjoint method is again the tool of choice, as it allows to compute a sensitivity map of the whole car for the positioning of jets.
It allows to compute characteristics of the old tube based on those of new tubes, which is frequently of interest.
This result is not surprising qualitatively, but it is remarkable that it allows to compute quantitatively the probability to observe a hydrophobic amino acid as a function of a structural indicator, the component c i of the principal eigenvector of the contact matrix, and on the two parameters < h> and < h>.
It allows to compute the Boltzmann exponents β i, and from them the site-specific amino acid distributions as a function of the normalized PE of a protein structure, c i /< c>, which depend little on the protein length, of two hydrophobicity parameters, < h> and < h>, and of the stationary frequencies wAA(a) of the mutation model, which must fulfill detailed balance.
It is a totally Eulerian conservative scheme that allows to compute sharp interfaces between non-miscible fluids.
It is centered on the Ecological Niche Factor Analysis (ENFA) that allows to compute HS models without the need of absence data.
This allows to compute a delta rank plot.
Fortunately, the EM algorithm [1] allows to compute the ML estimate iteratively.
The flatness property allows to compute an inverse dynamic model of the given system.
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