Sentence examples for minimization over the from inspiring English sources

The minimum of (5) is attained at the " minimal" event (the " minimal" row in Table 1) i. Certain events imply the minimization over the variable tube d' or the pair of tubes < d', d">; the minimal value of the variable is referred to as the " minimal parameter".

The minimization over the class of designs is carried out by implementing a genetic algorithm.

Our dual description gives Shannon capacity as a minimization over the "asymptotic spectrum of graphs", which as a consequence unifies previous results and naturally gives rise to new questions.

Hence the LP problem can now be viewed in terms of the ratio of power spectra and their minimization over the interval.

This was done by comparing the relative directions of the surface normal and the vector pointing from a voxel coordinate to the closest point on the surface as determined in a distance minimization over the surface coordinates u and v.

Our motivation to use the dual formulation is the possibility to decouple the optimization problem into an inner maximization problem over the primal variables and an outer minimization over the dual parameters which will be called outer loop further on.

On the other hand, in order to handle the nonconvexity of the optimization problem, we use an iterative alternating minimization approach: minimizing over the coding matrix while maintaining fixed the latent source matrix and viceversa.

Both parameters are determined with the CIGALE code which does not only give the best model fitted (based on a χ2 minimization over all the models) but also calculates the probability of each input model and returns the probability distribution function (PDF) of each parameter.

The alternating optimization is an iterative procedure for minimizing the function f(X) = f X1, X2,.., X n ) jointly over all variables by alternating restricted minimizations over the individual subsets of variables X1, X2,…, X n [21, 22].

The presence of the non-Archimedean ε in the objective function effectively allows the minimization over θ to pre-empt the optimization involving the slacks, s i − and s r +.

where ϕ n is the AoD, the minimization over Δϕ is to eliminate the additional angle spread introduced by different selection of reference zero angle.