Sentence examples for accurate sum from inspiring English sources

Exact(1)

They are parallelized versions of fast and accurate algorithms of calculating sum and dot product using error-free transformations which are recently proposed by Ogita et al. [T. Ogita, S.M. Rump, S. Oishi, Accurate sum and dot product, SIAM J. Sci. Comput. 26 (6) (2005) 1955 1988].

Similar(59)

Some might think this an accurate summing up of male-female relations.

But the last is unlikely because a shorter & no less accurate summing up would be NOTHING EVER HAPPENS TO Pig".

"WE WON just about everything," said Beatriz Paredes, the president of the Institutional Revolutionary Party (PRI), in an accurate summing-up of the mid-term election on July 5th.

"We defended set pieces very badly, gave away goals at the start of each half, and with a lot of possession we didn't create enough chances," the Manchester City manager said, a succinct and accurate summing up.

Leach's book is described as "the baby book that is written from the baby's point of view," an accurate summing up if the following somewhat censorious passage is anything to go by.

A calculator picked up in a drugstore produces accurate sums, over and over.

Joshua's father, James Titcombe, said: "It was a very thorough and detailed inquest, and we could not have asked for a more detailed and accurate summing up.

'No constrain' formulae were applied here across all SPEQ measures and bins in order to obtain accurate sums of SNP heritability estimates from the six bins.

Metabolite annotation usually uses a search for one or more molecular properties (e.g., accurate mass, sum formula) against comprehensive databases (DB), whereas identification also requires confirmation by measurement of an authentic standard under identical analytical conditions and/or comparison of MS MS fragmentation patterns.

The overall proportion of accurate results (the sum of true positives/negatives; mean 77.69 ± 7.27%) is higher than that of incorrect ones (sum of false positives/ negatives; mean 22.31 ± 7.27%), mainly influenced by the number of true negatives and false positives respectively (Additional file 5: Table S2).

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