A compressive sensing-driven data collection scheme for UAV-assisted wireless sensor networks. [PDF]
Han Z, Zheng G, Li C, Wang G, Mu Y.
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Enhancing network longevity in WSNs via a two-layer hierarchical routing protocol with dual-hexagonal topology. [PDF]
Jadhav S, Bhalke DG, Sharma K.
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Greedy gradient-free adaptive variational quantum algorithms on a noisy intermediate scale quantum computer. [PDF]
Feniou C +6 more
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Resource-Adaptive Semantic Transmission and Client Scheduling for OFDM-Based V2X Communications. [PDF]
Liu J, Chen Y, Wu W, Tian F.
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Worst-case performance of approximation algorithms for tool management problems.
Klundert, Joris van de, Crama, Yves
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A simple compound prioritization method for drug discovery considering multi-target binding.
Kubincová A, Mobley DL.
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Greedy approximation with regard to non-greedy bases
Advances in Computational Mathematics, 2010The authors present the properties of basis which are important for certain direct and inverse theorems in nonlinear approximation. They study greedy approximation with regard to the basis with different properties. Some results known for unconditional bases are extended to the case of quasi-greedy bases.
V N Temlyakov, Mingrui Yang, Peixin Ye
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Approximation of Reset Thresholds with Greedy Algorithms
The problem of approximate computation of reset thresholds of synchronizing automata has gained a lot of attention recently. We introduce a broad class of algorithms that compute reset words and analyze their approximation ratios. We present three series of automata that reveal inherent limitations of greedy strategies for approximation of reset ...
Dimitry S. Ananichev, Vladimir V. Gusev
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Greedy in Approximation Algorithms
The objective of this paper is to characterize classes of problems for which a greedy algorithm finds solutions provably close to optimum. To that end, we introduce the notion of k-extendible systems, a natural generalization of matroids, and show that a greedy algorithm is a 1/k-factor approximation for these systems.
Julián Mestre
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