Sentence examples for under maximization from inspiring English sources

We compare the optimal set of rules in contests under such an objective to the one under maximization of the sum of contestants' efforts, which is commonly assumed in the literature, and find that it may be beneficial to exclude weak contestants, unlevel the playing field, and weaken the underdog.

Since ( { lim}_{nto infty}frac{x^n}{n}=0 ) the integrals under maximization evaluate to 0 at the ∞ limit, and the objective function becomes maxleft pleft(1+dright -zfrac{kern0.75em 1+dright -zfrac{kern0.75emeft[{e}^{-q}-1right]frac{kern0.75em {e}^{-r}}{ 1+d}right)= maxleft(Gleft(cdot right)right).

The dominant theoretical perspective on technical change and innovation in small-scale agriculture (choice under constrained maximization) is argued to be highly effective in identifying problems with small-scale agriculture.

We now describe an efficient computational framework to compute the bandwidth allocations for each subframe under utility maximization, queue-driven Log, and queue-driven MaxWeight scheduling policies.

Following previous literature (e.g., Aretz and Bartram 2010; Arnold et al. 2014; Guay and Kothari 2003; Kürsten 2006), the theoretical hypotheses can be subsumed under the maximization of shareholder value.

Although industries can achieve zero emissions of asphalt concrete waste and iron and steel slag, even under the maximization of their value added, the final disposal of concrete waste and coal ash increases to approximately 25 times and 18 times, respectively, compared to the values for 2005.

We found that 75% of these metabolites could be produced under biomass maximization conditions by adding up to 25 reaction knockouts.

For example, when target production yields under biomass maximization are used as a score for screening, iterative screening fails to identify the combinations of two knockouts that show higher production yields only when they are disrupted simultaneously.

Using a simple feature selection algorithm based on area-under-the-curve maximization and a support vector machine classifier, the proposed parameters resulted in accuracy gains, relative to spectral peak parameters, of 21.3% when discriminating between the three groups and by 50% when mild and moderate-to-severe groups were merged into one.

In contrast, under a profit maximization goal the aim is to design the network so as to maximize the difference between total revenue and total cost.

Average thrust maximization under design constraints is the objective function.