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Exact(26)
For any vector, we have.
For every unit vector, we have.
For an arbitrary vector, we have [21] the following: (19).
Since U is the exact solution vector, we have D U + M ( U ) + T ¯ = 0, (26).
Divide the coordinates with the weigh vector; we have the unknown concept x's concept vector as (0,0).
With a view to estimate the cointegrating vector we have applied two different methods, FMOLS and DOLS.
Similar(33)
It continued: "These include every vector we've seen in previous attacks as well as some sophisticated new techniques that use the web browsers of unsuspecting, uninvolved people to flood github.com with high levels of traffic.
For convex vectors, we have: (i) Adding two convex vectors, we obtain a convex vector.
Since we have two feature vectors, we have two Manhattan distances too.
From the definition of a sequence of ANA random vectors, we have the following: (Yuan and Wu [5]).
end{aligned} (2.5) For concave n-dimensional vectors we have the following estimate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com