Sentence examples for maximization due to from inspiring English sources

The difficulties of classical modularity maximization due to the resolution limit and the degeneracy of its maxima are manifested in the poor average values obtained by Deltacom at (t=1) (0.08) and by Louvain (0.13) for the recall score of ASes with at least 100 nodes.

Additionally, short-term utilization oriented towards extraction maximization persisted due to the legal uncertainty of resource access obtained in informal ways and the inability of people to turn to legal recourse.

It should be noted that, the above revenue constraint is critically important in practice from the profit maximization perspective due to that electricity is a basic necessity and therefore less elastic.

Compared with the MSE minimization problem, it is more difficult to directly solve the above sumrate maximization problem (16), due to the non-convex nature of the sumrate objective with respect to the beamforming vectors.

Using a more ad hoc approach of prioritizing the maximization of specificity (due to the relatively rare incidence of OP cancer), we found that a cut-point of >37.43 had a sensitivity of 75.0% and a specificity of 99.3%.

Based on maximization of dissipation energy due to the control action, a mathematical model with reliability constraints on the mean square value of the structural dynamic displacement and stress response is developed.

In numerous simulations (beyond those presented here), we saw no evidence of bias due to maximization on the boundary.

Such methods include direct coupling analysis (DCA or DI for direct information) (Morcos et al., 2011; Weigt et al., 2009), Protein Sparse Inverse COVariance (PSICOV) (Jones et al., 2012), a Bayesian network algorithm for disentangling direct from indirect dependencies between residues (Burger and van Nimwegen, 2010), the pseudolikelihood maximization DCA (plmDCA) method due to Ekeberg et al.

We show that although maximization of the expected utility due to future rate is prohibitively complex, maximization of the utility of the expected average rate over the time window can be near-optimally solved in a distributed fashion using a similar exchange of price and demand.

Then (phi) is convex with respect to u. Due to convex maximization, the optimal control will be necessarily at the extrema of the range of the control, determined by comparison as: begin{aligned} u^* = left{ begin{array}{rl} u_{min } & text{ if } phi (u_{min })>phi (u_{max }), u_{max } & text{ if } phi (u_{min })

This was due to the maximization of biomass growth rate and also by not including an explicit cellular death rate, assumptions that are reasonable for modeling growth in exponential and early stationary stages (see section "Development of the Mathematical Framework").