Sentence examples for maximal running time from inspiring English sources

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For every algorithm (mathcal {A}) computing some partial function (phi :Srightarrow {mathbb {N}}), by (T_{mathcal A}) we denote the time function of (mathcal {A}) which is defined as the maximal running time of (mathcal A) on inputs of size at most n from the domain of (phi ) (thus we simply ignore inputs not from the domain of (phi )).

The maximal running time is 180 seconds.

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Along with their maximal running times, Chowdhury's imagery is an intense, finely detailed and close-up observation; of the faces and expressions of people in the crowded streets, of men, women and children in the audience during ceremonies and in the process of mass worship, and of men seeming to idle on a country road on the outskirts of a village.

The mean distance run at exhaustion was 305 ± 16 m in LCRs vs. 1883 ± 45 m in HCRs, which correspond to maximal running times of 20.8 ± 0.8 min and 69.8 ± 1.0 min, respectively.

In both panels of the figure, the optimal JLTAP algorithm already reaches its maximal run-time constraint of 5 days for the moderate connectivity that results from a sensing radius of R = 0.5.

Thereafter, their maximal dynamical strength, jump performance, and 300 m running time were determined.

Most popular approaches, however, strictly limit the maximal edit distance and use heuristics to keep running time in check at the potential cost of missing best matches.

Moreover, to reduce running time, the search is stopped when a maximal number of occurrences of a seed in the reference sequence has been reached.

This system offers an automatically digitized-24-hr real-time analysis of wheeling behaviors including running times or bouts (times a mouse gets up to the wheel to run at least for 2.5 cycles), running time (duration) in each bout, total running distance (in cycles), and average/maximal running speed (in cycles per minute) on a single mouse/single cage basis.

Please note that an algorithm that finds maximal valid clusters supporting copy of a given segment ϕ i with running time of O(m i log m i + s i ) will yield an O(mlog m+ S) algorithm for finding maximal valid clusters for all the segments in Φ when S = ∑ i =1 t s i (since m = ∑ i =1 t m i ).

The running time is linear in the text length and depends on the alphabet size, the maximal motif length, the number of words in the motifs, and the number of occurrences of each motif.

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