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Matroids and the greedy algorithm

Mathematical Programming, 1971
Linear-algebra rank is the solution to an especially tractable optimization problem. This tractability is viewed abstractly, and extended to certain more general optimization problems which are linear programs relative to certain derived polyhedra.
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Greedy Algorithm for Attribute Reduction

Fundamenta Informaticae, 2008
In the paper the accuracy of greedy algorithmfor construction of partial tests (superreducts) and partial decision rules is considered. Results of experiments with greedy algorithm are described.
Beata Zielosko, Marcin Piliszczuk
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Weak greedy algorithms

Adv. Comput. Math., 2000
Theoretical aspects of the efficiency of \(M\)-term approximation is studied for ``weak'' greedy algorithms. These are defined by weaker assumptions than their known analogs: the pure greedy algorithm, an orthogonal greedy algorithm, and a relaxed greedy algorithm. Convergence theorems and rates of approximation by these algorithms are proved.
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Greedy in Approximation Algorithms

2006
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.
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Greedy Algorithms

1995
We consider the selection of two basketball teams at a neighborhood playground to illustrate the greedy method. Usually the top two players are designated captains. All other players line up while the captains alternate choosing one player at a time. Usually, the players are picked using a greedy strategy.
Raymond Greenlaw   +2 more
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Tight Approximation Ratios of Two Greedy Algorithms for Optimal RSU Deployment in One-Dimensional VANETs

IEEE Transactions on Vehicular Technology, 2021
Hsiao-Chun Wu, Guozhen Tan, Zhenguo Gao
exaly  

Greedy algorithms

2023
Patrick Bosc   +2 more
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Biorthogonal Greedy Algorithms in Convex Optimization

Applied and Computational Harmonic Analysis, 2022
Anton Dereventsov, V N Temlyakov
exaly  

Some Remarks on Greedy Algorithms

Advances in Computational Mathematics, 1996
Vladimir N. Temlyakov
exaly  

Greedy Algorithms

2021
Sachi Nandan Mohanty   +2 more
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