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Here, the necessary condition of optimality leads to a finite-dimensional optimisation problem which extends the problem of Hashin Shtrikman bounds, which can be solved explicitly, as well.
Therefore, this paper extends the problem of how leakage resilience of random extractors could be in the case of protected instantiations.
In the meantime, the problem of finding (tilde{x} in(bigcap^{N}_{i=1}operatorname{GMEP}({ varTheta }_{i},varphi_{i},{mathcal {A}}_{i}))capoperatorname{Fix}(T cap{ varXi }) extends the problem of finding (tilde{x} inoperatorname{GMEP}({ varTheta },varphi, {mathcal{A}} capoperatorname{Fix}(T cap{ varXi }) in [23] from one GMEP to a finite family of GMEPs.
It extends the problem of inter-approach pluralism to DNA barcoding analyses.
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In addition to formal connections between the two types of aggregation problems, from a conceptual point of view judgment aggregation extends the problems of preference aggregation to more general decision problems.
Thus, we extend the problem to multiple constraints.
Later, Wilcox [3] extended the problem to Abelian groups.
Moreover, we extend the problem by considering randomized targets.
In this paper, we are going to extend the problem in a sense.
Xu [11] extended the problem into infinite-dimensional Hilbert spaces, and modified the CQ algorithm with Mann's iteration.
The particular simplicity of our approach results from using the closest point operator to extend the problem from the surface to the surrounding space.
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