Sentence examples for exceedingly large number of from inspiring English sources

The new technique is successfully applied to the problem of conformally mapping a closely spaced cascade of airfoils onto a circle, which requires an exceedingly large number of points if it is solved with uniform spacing.

From the discovery of first DNA hypomethylating drugs in the 1980s to recently discovered second generation pro-drugs, exceedingly large number of studies have been published that describe the DNA hypomethylation-based anti-neoplastic action of these drugs in various stages of the pre-clinical investigation and advanced stages of clinical development.

The legislation in concern is not much of a safeguard in itself, but it is important inasmuch as it serves to bear evidence to the government's growing concern for cybersecurity in the wake of an exceedingly large number of cyberattacks.

We are, with reason, immensely proud of discovering the laws of nature; at the same time we are not, and we will never be, able to predict the answer to an exceedingly large number of extremely relevant questions, including the followings: will I have a car accident today while driving to my office?

The problem is significantly more complex when there are an exceedingly large number of users in the system.

In the present study, GBS produced exceedingly large number of SNPs (1,232,406); however, the low coverage nature of the technique has substantially reduced the available SNPs for analyses due to missing data.

This is consistent with previous studies indicating that MATE proteins have exceedingly large numbers of homologs in plants per species, in that aspect contrasting to what is observed in bacteria and animals [ 50, 51].

Needless to say, the latter is an exceedingly large number, especially since the mean value of the growth rate of GDP per caput in the dataset is equal to 1.81percentt, and it reflects the functional assumption that the marginal gains in terms of growth stemming from reductions in the PFI increase as the PFI decreases.

Or if a holistic practitioner identifies a method or treatment that seems to work exceedingly well with a large number of her patients, it is disparaged for not having peer-reviewed studies to confirm it is anything more than an anecdotal response.

Although the detection performance of this strong classifier is high, its training time is exceedingly long because of the large number of Haar-like features that needs to be trained for the weak classifiers.

First, regarding the relatively small cohort, musculoskeletal tumors of the proximal tibia are rare, making it exceedingly difficult to amass a large number of patients for prospective evaluation.