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These problems can be summarized as the following: A. Procurement and risk Management: There is a frequent shortage of materials.
In the process of heat conduction and mass diffusion, many problems can be summarized as the problem (1.1).
"The economic problems can be summarized like this: There are many things that other cities have that we don't," she added.
The problems can be summarized into two broad categories: (1) it is difficult to obtain highly representative still images and videos that can allow the colposcopic examination to be quality-assured by other observers; and (2) conventional binocular colposcopes do not provide neither guidance for biopsy nor documentation of the biopsy procedure.
This latter group of problems can be summarized as follows: The enormous advances in information/communication technology (ICT) and its application to all activities including the teaching/learning process and academic administration constitute a major challenge to higher education due to the emerging need for changing the way of developing and delivering educational materials and services.
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This problem can be summarized by x ( t ) = ∑ k = 0 K - 1 a k + 1 s ( t - k ) + n ( t ).
A step-by-step guide to an implementation of SPSA can be found in[20], which, when applied to our problem, can be summarized in the following steps.
Then this problem can be summarized as finding the best selection of power consumption levels for the subfunctions, at the same time it can maximize the decoding quality subject to the constraints: each scalable power consumptions in whole video decoding is less than in each energy/power profile.
Kruskal-rank σ(A) = q, which implies that when q ≥ 2QB, x can perfectly be reconstructed without knowing any information about the locations of bands when f ∈ F 0. The blind reconstruction problem can be summarized as r f = arg min r f | | r f | | 1 s.t.
The OMP algorithm [23], as we here apply to our PST problem, can be summarized as follows: Algorithm Orthogonal matching pursuit 1. Normalise each column of the dictionary matrix A and denote the resulting matrix as A ′, i.e. (lVert mathbf {A}_{j}^{prime } rVert _{2} = 1) for j=1,2,…,p.
Assuming a given set of K species from which the reads can originate, the metagenomic problem can be summarized as a mixture problem, for which the assignment of the sequencing reads to species is unknown and must be determined.
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