Sentence examples for exceedingly large number 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.

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?

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 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.

These terms and the names of authors listed in the many citations contained in OMIM, account, in large part, for the exceedingly large number of different words found in OMIM.

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].

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.

This could be due to the exceedingly large sample size (n = 1620) or the large number of parameters to be calibrated.

The eigenvector method is extremely stable and succeeds even when the number of outliers is exceedingly large.