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Excepting E. multilocularis, all isolates show sites with double-peaks within reads of high quality, which we represented by IUPAC ambiguity codes.
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Currently, we represent by the shortest path distance (9).
For, we fix, and we represent by the norm of in.
Hereafter we represent by X α the space D ( ( − A ) α ) endowed with the norm ∥ ⋅ ∥ α.
In practice, the data is contaminated by noise, which we represent by the following data model (5).
We represent by (operatorname{PAP}(Y,Z)) the set of all pseudo almost periodic functions (g:mathbb{R}times Yto Z).
Moreover, we represent by ([D(A)]) the domain of A endowed with the graph norm (| x |_{A} = | x | + | Ax |), (x in D(A)).
For a linear operator A with domain (D(A)) and range (mathcal {R}(A)) in X, we represent by (sigma (A)) (resp.
As usual, we represent by (operatorname{PAP}(Y)) the set of all pseudo almost periodic functions (h:mathbb{R}to Y).
Therefore, we calculate probability distributions for the spread, which we represent by using pgfs.
Formally, we represent by { X i, Y i (i = 1,2,…, m)} the training dataset with m examples.
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