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The desired are mappings f j that minimize this functional.
The subjects were screened for sport habits before and during the orthodontic therapy and it was recommended to them, not to change the initial sports habits in order to minimize this functional factor in the study.
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Since this functional is convex, its minimum can be computed by minimizing this functional w.r.t.
Indeed, the supertree building problem is formulated (at least in this study) in terms of minimizing this functional.
To minimize this problem, the functional advantage of the computational model should validate the model in addition to the correlation between theory and experimental data.
The variational segmentation methods are characterized by deriving an energy functional from some a priori mathematical model and minimizing this energy functional over all possible partitions.
Variational methods for image segmentation have had great success, which are characterized by deriving an energy functional from some a priori mathematical model and minimizing this energy functional over all possible partitions.
Algorithms combining soft thresholding with gradient descent are proposed for minimizing this new functional.
In this case to minimize the functional risk R(w), both E(w) and ( {C}_0left(frac{l}{h},eta right) ) (i.e., the empirical risk and the confidence interval) should be minimized simultaneously.
In other words, quite different (g ( t )) functions can minimize the functional (1.5).
Since the function ϕ that minimizes this functional satisfies the Euler-Lagrange equation Ą ∂E ∂ϕ = 0.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com