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It addresses a common limitation associated with the existing greedy pursuit algorithms.
The simulation results are compared with the existing Greedy and Simulated Annealing algorithms to optimize the position of ONUs.
Based on this signal model along with a brief survey of existing greedy algorithms, we develop distributed greedy algorithms with low communication overhead.
We have also proposed a greedy multi-relay selection algorithms that outperforms existing greedy algorithms and obtains a performance close to an exhaustive search.
Empirical results demonstrate for the first time that the combined use of simultaneous sparsity and nonnegativity constraints can substantially improve recovery performance relative to existing greedy algorithms that impose less signal structure.
Unlike existing greedy techniques, the proposed greedy multi-relay selection method can go through a sufficient number of relay combinations and approach the best one based on previous decisions.
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We would like to investigate applications to other problems as challenges in the future. 1 Rather, this situation is computationally harder for our algorithm, because team-wise precedence constraints reduce the size of (mathcal {N}(x)) for every (x in mathcal {X}^{text {aux}}). 2 This existing method is a greedy construction method, though the detail cannot be publishable due to business secret.
To avoid computational issues in biclustering, most existing biclustering algorithms use a greedy iterative heuristic approach that locally improves an appropriate scoring function starting from initial seed biclusters.
We implement, analyze, and compare the behavior of our approach with existing approaches (greedy-perimeter stateless routing (GPSR), geographic source routing (GSR), and enhanced greedy traffic-aware routing (E-GyTAR)) using VanetMobiSim and Glomosim simulators. .
We designed, implemented, and compared TFOR against existing routing protocols of VANETs (greedy-perimeter stateless routing (GPSR), geographic source routing (GSR), and enhanced greedy traffic-aware routing (E-GyTAR)).
However, all existing work to our knowledge implements a greedy heuristic algorithm with no explicit objective function.
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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