Suchergebnisse - Near-Linear Time Algorithm

  1. 1

    Near-linear-time algorithm for the geodetic Radon number of grids von Dourado, Mitre Costa, Pereira de Sá, Vinícius Gusmão, Rautenbach, Dieter, Szwarcfiter, Jayme Luiz

    ISSN: 0166-218X, 1872-6771
    Veröffentlicht: Elsevier B.V 10.09.2016
    Veröffentlicht in Discrete Applied Mathematics (10.09.2016)
    “… The proposed algorithm runs in near-linear O(d(logd)1/2) time for grids of arbitrary sizes, and in sub-linear O(logd …”
    Volltext
    Journal Article
  2. 2

    Near linear time algorithm to detect community structures in large-scale networks von Raghavan, Usha Nandini, Albert, Réka, Kumara, Soundar

    ISSN: 1539-3755, 1550-2376
    Veröffentlicht: United States 01.09.2007
    “… Currently used algorithms that identify the community structures in large-scale real-world networks require a priori information such as the number and sizes of communities or are computationally expensive …”
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    Journal Article
  3. 3

    ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy von Jiang, Zihan, Mao, Fubing, Guo, Yapu, Liu, Xu, Liu, Haikun, Liao, Xiaofei, Jin, Hai, Zhang, Wei

    Veröffentlicht: IEEE 09.07.2023
    “… To address this issue, we propose ACGraph, a novel streaming graph processing approach for monotonic graph algorithms …”
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    Tagungsbericht
  4. 4

    A near-linear time algorithm and a min-cost flow approach for determining the optimal landing times of a fixed sequence of planes von Cao, Bin, Xu, Chao

    ISSN: 0254-5330, 1572-9338
    Veröffentlicht: New York Springer US 01.01.2025
    Veröffentlicht in Annals of operations research (01.01.2025)
    “… For a given sequence of planes, we develop a faster algorithm for solving the ALP with the running time O ( n log n …”
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    Journal Article
  5. 5

    Subspace exploration: Bounds on Projected Frequency Estimation von Cormode, Graham, Dickens, Charlie, Woodruff, David P

    ISSN: 1055-6338
    Veröffentlicht: 20.06.2021
    “… Given an n × d dimensional dataset A, a projection query specifies a subset C ⊆ [d] of columns which yields a new n × |C| array. We study the space complexity …”
    Weitere Angaben
    Journal Article
  6. 6

    A Near-Linear Time Guaranteed Algorithm for Digital Curve Simplification Under the Fréchet Distance von Sivignon, Isabelle

    ISSN: 2105-1232, 2105-1232
    Veröffentlicht: IPOL - Image Processing on Line 01.01.2014
    Veröffentlicht in Image processing on line (01.01.2014)
    “… In this paper, we propose an algorithm that, from a maximum error and a digital curve (4- or 8-connected …”
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    Journal Article
  7. 7

    A Near-Linear Time Guaranteed Algorithm for Digital Curve von Sivignon, Isabelle

    ISSN: 2105-1232, 2105-1232
    Veröffentlicht: 22.05.2014
    Veröffentlicht in Image processing on line (22.05.2014)
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    Journal Article
  8. 8

    Near-linear-time approximation algorithms for scheduling a batch-processing machine with setups and job rejection von Ou, Jinwen

    ISSN: 1094-6136, 1099-1425
    Veröffentlicht: New York Springer US 01.10.2020
    Veröffentlicht in Journal of scheduling (01.10.2020)
    “… We present efficient approximation algorithms with near-linear-time complexities …”
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    Journal Article
  9. 9

    Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses von Gokcesu, Kaan, Gokcesu, Hakan

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 28.09.2021
    Veröffentlicht in arXiv.org (28.09.2021)
    “… The best dynamic estimation sequence that we compete against is selected in hindsight with full observation of the loss functions and is allowed to select different optimal estimations in different time intervals (segments …”
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    Paper
  10. 10

    Near-Linear Time Approximation Algorithms for Curve Simplification von Agarwal, Pankaj K., Har-Peled, Sariel, Mustafa, Nabil H., Wang, Yusu

    ISSN: 0178-4617, 1432-0541
    Veröffentlicht: New York, NY Springer 01.07.2005
    Veröffentlicht in Algorithmica (01.07.2005)
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    Journal Article Tagungsbericht
  11. 11

    A near-linear time algorithm for haplotype determination on general pedigrees von Doan, Duong D, Evans, Patricia A, Horton, Joseph D

    ISSN: 1557-8666, 1557-8666
    Veröffentlicht: United States 01.10.2010
    Veröffentlicht in Journal of computational biology (01.10.2010)
    “… Abstract An O(nmα(m)) time algorithm is given for inferring haplotypes from genotypes of non-recombinant pedigree data, where n is the number of members, m is the number of sites, and α(m …”
    Weitere Angaben
    Journal Article
  12. 12

    A Unified Framework to Estimate Global and Local Graphlet Counts for Streaming Graphs von Chen, Xiaowei, Lui, John C.S.

    ISBN: 1450349935, 9781450349932
    Veröffentlicht: New York, NY, USA ACM 31.07.2017
    “… nature of the input, sheer size of the graphs, and superlinear time complexity of the problem …”
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    Tagungsbericht
  13. 13

    The Gene-Duplication Problem: Near-Linear Time Algorithms for NNI-Based Local Searches von Bansal, M.S., Eulenstein, O., Wehe, A.

    ISSN: 1545-5963, 1557-9964, 1557-9964
    Veröffentlicht: United States IEEE 01.04.2009
    “… ) provide a novel near-linear time algorithm for the NNI search problem, 2) introduce extensions that significantly enlarge the search space of the NNI search problem, and 3 …”
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    Journal Article
  14. 14

    HyperHeadTail: a Streaming Algorithm for Estimating the Degree Distribution of Dynamic Multigraphs von Stolman, Andrew, Matulef, Kevin

    ISBN: 1450349935, 9781450349932
    Veröffentlicht: New York, NY, USA ACM 31.07.2017
    “… We introduce HyperHeadTail, a streaming algorithm for estimating the degree distribution of a graph from a stream of edges using very little storage space …”
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    Tagungsbericht
  15. 15

    Streaming Graph Sampling with Size Restrictions von Zakrzewska, Anita, Bader, David A.

    ISBN: 1450349935, 9781450349932
    Veröffentlicht: New York, NY, USA ACM 31.07.2017
    “… Many graph datasets originating from online social network, financial or biological sources are too large to store or analyze. The analysis of such networks …”
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    Tagungsbericht
  16. 16

    Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut von Cheng, Yu, Li, Max, Lin, Honghao, Tai, Zi-Yi, Woodruff, David P, Zhang, Jason

    ISSN: 2836-6573, 2836-6573
    Veröffentlicht: United States 01.05.2024
    Veröffentlicht in Proceedings of the ACM on management of data (01.05.2024)
    “… directed cut, the total weight of edges in one direction is at most times that in the other direction. We consider two models …”
    Weitere Angaben
    Journal Article
  17. 17

    Force-Directed Graph Layouts by Edge Sampling von Gove, Robert

    Veröffentlicht: IEEE 01.10.2019
    “… Recent work shows that sampling algorithms can be an effective tool for graph visualization …”
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  18. 18

    Near-linear convergence of the Random Osborne algorithm for Matrix Balancing von Altschuler, Jason M., Parrilo, Pablo A.

    ISSN: 0025-5610, 1436-4646
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2023
    Veröffentlicht in Mathematical programming (01.03.2023)
    “… of Osborne’s algorithm converges in near-linear time in the input sparsity. Specifically, it balances K ∈ R ≥ 0 n × n after O ( m ε - 2 log κ …”
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  19. 19

    Edit Distance in Near-Linear Time: it's a Constant Factor von Andoni, Alexandr, Nosatzki, Negev Shekel

    ISSN: 2575-8454
    Veröffentlicht: IEEE 01.11.2020
    “… (equivalently, there is a near-linear additive approximation). In contrast, our algorithm obtains a constant-factor approximation in near-linear running time for any input …”
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  20. 20

    A Near-Linear Time Algorithm for the Chamfer Distance von Bakshi, Ainesh, Indyk, Piotr, Jayaram, Rajesh, Silwal, Sandeep, Waingarten, Erik

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 06.07.2023
    Veröffentlicht in arXiv.org (06.07.2023)
    “… )\)-time brute force algorithm. Further, the Chamfer distance is often used as a proxy for the more computationally demanding Earth-Mover (Optimal Transport) Distance. However, the \emph{quadratic} dependence on \(n …”
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    Paper