Results 11 to 20 of about 87,394 (276)
A simple greedy approximation algorithm for the unit disk cover problem [PDF]
Given a set $\mathcal P$ of $n$ points in the plane, the unit disk cover problem, which is known as an NP-hard problem, seeks to find the minimum number of unit disks that can cover all points of $\mathcal P$. We present a new $4$-approximation algorithm
Mahdi Imanparast, Seyed Naser Hashemi
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Generalized approximate weak greedy algorithms (gAWGAs) were introduced by Galatenko and Livshits as a generalization of approximate weak greedy algorithms, which, in turn, generalize weak greedy algorithm and thus pure greedy algorithm.
Valiullin Artur R. +2 more
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Simultaneous approximation by greedy algorithms [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leviatan, D., Temlyakov, V. N.
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Optimal Power Allocation With Multiple Joint Associations in Multi-User MIMO Full-Duplex Systems
Optimum power allocation is an effective way to mitigate residual self-interference and inter-user interference in multiple input multiple output full-duplex (FD) systems.
Kunbei Pan, Bin Zhou, Zhiyong Bu
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Collapsing Superstring Conjecture [PDF]
In the Shortest Common Superstring (SCS) problem, one is given a collection of strings, and needs to find a shortest string containing each of them as a substring. SCS admits 2 11/23-approximation in polynomial time (Mucha, SODA\u2713).
Golovnev, Alexander +4 more
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SPARSE APPROXIMATION AND RECOVERY BY GREEDY ALGORITHMS IN BANACH SPACES
We study sparse approximation by greedy algorithms. We prove the Lebesgue-type inequalities for the weak Chebyshev greedy algorithm (WCGA), a generalization of the weak orthogonal matching pursuit to the case of a Banach space.
V. N. TEMLYAKOV
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Efficient Densest Subgraphs Discovery in Large Dynamic Graphs by Greedy Approximation
Densest subgraph detection has become an important primitive in graph mining tasks when analyzing communities and detecting events in a wide range of application domains.
Tao Han
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Fast Subspace Approximation Via Greedy Least-Squares [PDF]
In this note, we develop fast and deterministic dimensionality reduction techniques for a family of subspace approximation problems. Let $P\subset \mathbbm{R}^N$ be a given set of $M$ points. The techniques developed herein find an $O(n \log M)$-dimensional subspace that is guaranteed to always contain a near-best fit $n$-dimensional hyperplane ...
Iwen, M. A., Krahmer, Felix
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Lebesgue constants for Chebyshev thresholding greedy algorithms
We investigate the efficiency of Chebyshev Thresholding Greedy Algorithm (CTGA) for an n-term approximation with respect to general bases in a Banach space. We show that the convergence property of CTGA is better than TGA for non-quasi-greedy bases. Then
Chunfang Shao, Peixin Ye
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Regularized Submodular Maximization With a
With the development of the Internet and the emergence of various social-media platforms, designing approximation algorithms for optimization problems such as the influence maximization in social networks has received widespread attention.
Qingqin Nong, Zhijia Guo, Suning Gong
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