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Hybrid fuzzy clustering with Golden Eagle Optimization Algorithm for fault tolerant load balancing in fog computing environment. [PDF]
Sci RepKaur H +4 more
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A Framework for the Greedy Algorithm
Discrete Applied Mathematics, 2002 Matroids are characterized by the fact that the greedy algorithm finds bases of largest weight. There are, however, optimization problems for which the greedy algorithm solves the optimization problem for many, but not all, linear weight functions and for such situations a theory is developed to efficiently identify instances on which the greedy ...
Andrew J. Vince
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On the Rate of Convergence of Greedy Algorithms
Mathematics, 2023 In this paper, a new criterion for the evaluation of the theoretical efficiency of a greedy algorithm is suggested. Using this criterion, we prove some results on the rate of convergence of greedy algorithms, which provide expansions. We consider both the case of Hilbert spaces and the more general case of Banach spaces. The new component of this paper
Vladimir N. Temlyakov
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Greedy by Chance - Stochastic Greedy Algorithms
2010 Sixth International Conference on Autonomic and Autonomous Systems, 2010For many complex combinatorial optimization problems, obtaining good solutions quickly is of value either by itself or as part of an exact algorithm. Greedy algorithms to obtain such solutions are known for many problems. In this paper we present stochastic greedy algorithms which are perturbed versions of standard greedy algorithms, and report on ...
Viswanathan Kodaganallur, Anup K. Sen
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Mathematical Notes, 2022
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The Thresholding Greedy Algorithm, Greedy Bases, and Duality
Constructive Approximation, 2003Let \(X\) be a Banach space with a normalized basis \((e_n)\) and biorthogonal functionals \((e_n^*)\) and let \(x\in X\). Order the nonzero scalars \(e_n^*(x)\) by decreasing the modulus (if \(| e_n^*(x)| =| e_m^*(x)| \) and ...
Dilworth, S. J. +3 more
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