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For a long time now, centralized solutions for India have appeared to New Delhi's bureaucracy as easier to manage than local initiatives.
For example, in [2] authors compared distributed and centralized solutions for cell muting, however they consider only static clustering for co-located servers.
These technologies can have their performance improved by the use of centralized solutions for inter/intra-cell interference coordination to reach near zero interference.
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Traditionally, centralized solution for this convex optimization problem is usually achieved on a central server in the core network.
What is a simplified centralized solution for the spectrum allocation and partitioning problem?
Specifically they're offering two APIs for developers to build "more robust conversational interfaces", as they put it — with the aim of becoming a "centralized solution" for Natural Language Processing NLPP).
Therefore we develop a simplified centralized solution for spectrum allocation and partitioning, which use minimal channel information between cross-tier networks.
We also aim at designing a low-complexity algorithm that allows a centralized solution for the joint power and bandwidth allocation for OFDMA uplink channels to be achieved in a few steps using typical network parameters.
We first report the results for the centralized solution of the BRR problem, for a single instance of the channel conditions.
On the other hand, since resource allocation mainly relies on the feedback of the channel state from users, when feedback delay is large, distributed solutions typically perform better than centralized solutions, as for example shown in [2].
The first approximation to a distributed problem in this scenario is to compute m centralized solutions, one for each node of the network, so the classical KLS problem could be written as: begin{array}{*{20}l} &underset{f_{j}inmathcal{H}_{K}}{min}sumlimits_{i=1}^{n} z_{i}-y_{i})^{2} z_{i}-y_{i}j=1}^{2}+sumlimitsVert f_{j} Vert_{mathcal{H}_{K}}^{2} end{array} (8).
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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