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By means of this approximation of PHY constraints, [9] changes this non-convex power control problem into a convex optimization problem to solve.
We calculated this approximation of R0 by allowing only one individual to progress through all the disease stages.
Taking only the constant term of the numerator polynomial, and divide this term by the approximation of the denominator polynomial results in the term b|s|−(N + 1).
We assume that the number of nodes in each cell is limited to K, and the proof method of K in the square model is provided in [8]; by the approximation of this method, we can also prove that the number of nodes in the hexagon model cell is ( K=varTheta left(frac{n}{b}right) ). 4.
The quantization loss thus introduced by this approximation comprises the effect of a single bit on the whole frame and it is therefore negligible.
We denote by the approximation of the exact solution given by the collocation method and by the error: (3.4).
TSS prediction was based on the identification of abrupt changes in expression level as assessed by the approximation of the derivative of the expression level logarithm.
We give the Korovkin-type approximation theorem and obtain the rate of convergence of this approximation by means of the first and the second modulus of continuity.
By using this approximation for the PDF of a sum ∑ l = 1 L ζ ́ l ( t ) of Nakagami-m processes and applying the concept of transformation of random variables [[40], Equations 7-8], the PDF pΨ z) of the squared sum of Nakagami-m processes Ψ t) can be expressed using p Ψ ( z ) = 1 ∕ ( 2 z ) p S ( z ) as p Ψ ( z ) ≈ m S m S z m S - 1 Γ ( m S ) Ω S m S e - m S Z Ω S, z ≥ 0. (10).
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated versions of a set of individual data matrices followed by bi-linear approximation of this group average for graphical inspection.
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