Sentence examples for reduce a given from inspiring English sources

The glove would provide a muscle-assisting boost to reduce a given workload.

Unfortunately, his proposal does not include either of the two things that would commend it as a serious effort: taxes on carbon emissions, or mandatory limits on them.In principle, taxes and targets are equally efficient ways to reduce a given pollutant, although, as The Economist has long argued, the tax approach has the advantage of simplicity.

First, we reduce a given problem to an equivalent operator equation with respect to unknown sources defined only at the boundary of the original domain.

Effort has to be put into cognitive and behavioral problem-solving activities in order to reduce a given barrier (Funke 2012; Newell and Simon 1972).

It is recognized that the Lyapunov function method serves as a main technique to reduce a given complicated system into a relatively simpler system and provides useful applications to control theory, but finding Lyapunov functions is still a difficult task (see, e.g., [1 3, 12, 13]).

In order to reduce a given model of a biochemical reaction network, we first determine the steady state concentration of each of the metabolite of the network.

The first part (Forward Elimination) reduces a given system to triangular form.

Therefore, this paper presents a verification methodology that reduces a given grid system model to a model to which it is possible to apply a "cutoff" theorem (i.e., a requirement is satisfied by a system with an arbitrary number of jobs if and only if it is satisfied by a system with a finite number of jobs up to a cutoff size).

Iterations of these two steps progressively reduces a given error metric.

Our network reduction algorithm NetworkReducer reduces a given large-scale metabolic network to a smaller subnetwork thereby keeping desired features of the full network.

As a proof of concept, we compare the performance of our estimated measurements and true measurements at each candidate time point, assessing the ability of estimated measurements to predict which candidate time point most reduces a given uncertainty metric.