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where μ k and (sigma ^{2}_{k}) are the average value and the variance of the input image Iin in window ω k, respectively.
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Notice that the role of the term (alpha_{i}|f_{i} y_{i} -f_{i}(x_{i})|^{2}), for ealpha_{i}|f_{i} y_{i} -f_{i}is analogous to a choice of perturbation in the system.
By taking (T_{i}=T,) (I_{i}=I) for all (iin J) in the Theorem 2 5, we get the following corollary, yet is new in itself.
Let us take a Cauchy sequence (x^{i}= { x_{mn}^{(i)} }_{m,ninmathbb{N}}) for every fixed (iin mathbb{N}) in the space (B(mathcal{L}_{q})).
(A=(a_{ij} in R^{ntimes n}) is called a strictly α-diagonally dominant matrix if there exists (alphain[0,1]) such that |a_{ii}|> alpha R_{i}(A)+ 1- alpha)C_{i}(A),quad forall iin N. In this section, we give several bounds of (|A^{-1}|_{infty}) and (tau(A)) for a strictly diagonally dominant M-matrix A. [2].
It should be noted that, for a suitable choice of the operators (M_{i}, N_{i}, T_{i}, S_{i}, phi_{i}, eta_{i}, A_{i}, B_{i}), and (f_{i}), for each (iin I), in the above mentioned problems, it can easily be seen that the problem (1) covers many known system of generalized equilibrium problems and variational-like equilibrium problems.
Few were taken in, though iIn the immediate aftermath of his defeat, Sarkozy and his wife, the supermodel turned singer Carla Bruni-Sarkozy, did indeed remain out of the limelight.
For convenience, each possible value of (r(t)) is denoted by i, (iin S_{1}), in the following.
Based on data in V, they obtained the Nadaraya-Watson kernel estimator (Nadaraya 1964; Watson 1964) of the above imputation and replaced γ i (β,t) for (iin bar {V}) in (2.2) by the kernel estimator, which leads to the estimated partial likelihood.
However, in IIN, other than reduced visual acuity and an abnormal optokinetic response (9, 10), no overt ocular abnormality has been described.
Suppose that the set-valued maps T and S defined before satisfy the supplementary condition: For all (iin I) and ((x,y )in G_{S}), there exist (zin Txcapmathbb{K}) and (tin S (z )) such that max bigl{ a_{i}lVert x-z rVert_{mathbb{X}},b_{i}lVert y-trVert _{mathbb{X}} bigr} leqslant varphi_{i} (y )-varphi_{i} (t ).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com