Sentence examples for a sequence of counts from inspiring English sources

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The profile can be summarized by a sequence of "counts", which stand for the number of reads whose mapping starts at that position [ 7].

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The iterable unit allows students to reconceptualize their number words to a single multiplicative relationship instead of a sequence of counting acts.

Given a sequence of counting queries Q, D1 and D2 are neighboring datasets, the sensitivity of Q, denoted ΔQ in Eq. 3, is: Delta {text{Q}} = hbox{max} left| {{text{Q}}({text{D}}_{1} ) - {text{Q}}({text{D}}_{2} )} right| (3).

Labeled "n!" or similar, these key finds the product of a sequence of counting numbers from 1 to the value entered; entering 5 yields 1 x 2 x 3 x 4 x 5 = 120.

By Lemma 4, it is easy to prove that the spectrum σ ( A ) has a sequence of eigenvalues (counted with their multiplicities) λ 1 ≤ λ 2 ≤ ⋯ ≤ λ k ≤ ⋯. with λ k → + ∞ as k → + ∞, and corresponding eigenfunctions { e k } k ∈ N, A e k = λ k e k, form an orthogonal basis in L 2 ( R, R N ).

Therefore, it is easy to prove that the spectrum σ has a sequence of eigenvalues (counted with their multiplicities) λ 1 ≤ λ 2 ≤ ⋯ ≤ λ k ≤ ⋯ → ∞, and the corresponding system of eigenfunctions { e k : k ∈ N } ( χ e k = λ k e k ) forms an orthogonal basis in L 2 ( R, R N ).

By Lemma 2.1, it is easy to prove that the spectrum σ has a sequence of eigenvalues (counted with their multiplicities) λ 1 ≤ λ 2 ≤ ⋯ ≤ λ k ≤ ⋯ → ∞, and the corresponding system of eigenfunctions { e k : k ∈ N } ( χ e k = λ k e k ) forms an orthogonal basis in L 2 ( R, R N ).

Each builder has infinitely many chances to enter the site and add some finite amount of material to the house; these slots for the builders are interleaved so that the whole process takes place in a sequence of steps counted by the natural numbers.

The RMS variability, defined as the standard deviation divided by the mean for a sequence of X-ray counts in a time bin, was calculated as a function of energy, with changing the width of the time bin.

Page's test is based on P d) = max(P(d - 1) + e(d) - k, 0) and alarms (flags a count or sequence of counts as being unusually high relative to the forecasted value(s)) if P d) exceeds a threshold h that is set to achieve the desired false alarm probability.

For example, 5 can be thought of as five times 1 instead of a sequence of five distinct counting acts.

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