sublinear


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sublinear

(sʌbˈlɪnɪə)
adj
beneath a line or nearly linear
References in periodicals archive ?
[32] first considered the privacy preservation requirement in BE and proposed two concrete PKBE schemes with sublinear ciphertext length.
The function f includes a large number of nonlinear functions and particularly covers the standard type of sublinear functions
We prove that the global convergence rate is either linear or sublinear, but to further discern between these cases relies on a priori knowledge of the exponent of the KL inequality.
The work aimed to experimentally investigate the spectra of luminescence and conductivity and their dependencies on the intensity of X-ray excitation for the ZnSe single crystals at various temperatures and explain the sublinear dependencies of the LAC of the X-ray conductivity and LLC of the X-ray luminescence.
The results reported in the papers [3, 4, 6-12, 17, 20] cannot be applicable to (50) and (51) to yield this conclusion since these equations have sublinear neutral terms.
This points to the sublinear dependence of photocurrent in both cells [29] and need for further optimization of current collection and in particular the cell contact system (including contact/conducting layer interfaces).
Krause, "Approximate K-Means++ in sublinear time," in Proceedings of the 30th AAAI Conference on Artificial Intelligence, AAAI2016, pp.
Similarly, sublinear functions will produce good correspondence on most data points at the expense of some larger errors.
Perfect efficiency is achieved when [S.sub.p] = p or E= 1; sublinear speed-up is measured if [S.sub.p] < pand E < 1.
Let [phi] : [R.sup.+] [right arrow] [R.sup.+] be a sublinear, monotone increasing function such that [phi](0) = 0 and [phi](u) = (1 - [delta])u for all 0 [less than or equal to] [delta] < 1, u [member of] [R.sup.+].
This section is based on the decompositions of f [member of] [H[??].sup.[alpha],p.sub.q,L]([R.sup.n]) in the previous section; as applications, we give some boundedness of sublinear operators satisfying certain conditions on Herz-type Hardy spaces associated with operator.
The first derivative spectra can reduce sublinear and quadratic background noise; it can also reduce the impact of the hyperspectral remote-sensing measurement because of the scattering and absorption of atmosphere to light [33].