Showing 41 - 60 results of 738 for search '"Approximation algorithm"', query time: 0.13s Refine Results
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    Approximation Algorithms for Low-Distortion Embeddings into Low-Dimensional Spaces by Sidiropoulos, Anastasios, Badoiu, Mihai, Dhamdhere, Kedar, Gupta, Anupam, Indyk, Piotr, Rabinovich, Yuri, Racke, Harald, Ravi, R

    Published 2021
    “…© 2019 Society for Industrial and Applied Mathematics We present several approximation algorithms for the problem of embedding metric spaces into a line, and into the 2-dimensional plane. …”
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    Article
  3. 43

    Conditionally optimal approximation algorithms for the girth of a directed graph by Dalirrooyfard, Mina, Williams, Virginia Vassilevska

    Published 2021
    “…Fast good quality approximation algorithms for undirected graphs have been known for decades. …”
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    Article
  4. 44

    Tight approximation algorithms for bichromatic graph diameter and related problems by Dalirrooyfard, Mina, Williams, Virginia Vassilevska, Vyas, Nikhil, Wein, Nicole

    Published 2021
    “…We give the first nontrivial approximation algorithms for most of these problems, including time/accuracy trade-off upper and lower bounds. …”
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    Article
  5. 45

    Polylogarithmic Approximation Algorithm for Non-Uniform Multicommodity Buy-at-Bulk by Hajiaghayi, MohammadTaghi, Kortsarz, Guy, Salavatipour, Mohammad R.

    Published 2006
    “…Thefirstnon-trivial approximation algorithm for this problem is due toCharikarand Karagiozova (STOC' 05) whose algorithm has anapproximation guarantee of$\exp(O(\sqrt{\log n\log\log n}))$,when all $\delta_i=1$ and$\exp(O(\sqrt{\log N\log\log N}))$ for the generaldemand case where $N$ isthe sum of all demands. …”
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    Reducing Revenue to Welfare Maximization: Approximation Algorithms and Other Generalizations by Cai, Yang, Daskalakis, Konstantinos, Weinberg, Seth Matthew

    Published 2015
    “…In this paper, we extend the reduction to accommodate approximation algorithms, providing an approximation preserving reduction from (truthful) revenue maximization to (not necessarily truthful) welfare maximization. …”
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    Article
  10. 50

    Efficient distributed approximation algorithms via probabilistic tree embeddings by Khan, Maleq., Kuhn, Fabian., Malkhi, Dahlia., Pandurangan, Gopal., Talwar, Kunal.

    Published 2013
    “…We present a uniform approach to design efficient distributed approximation algorithms for various fundamental network optimization problems. …”
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    Journal Article
  11. 51

    Adaptive Galerkin approximation algorithms for Kolmogorov equations in infinite dimensions by Schwab, C, Süli, E

    Published 2013
    “…All constants in our error and complexity bounds are shown to be independent of the number of “active” coordinates identified by the proposed adaptive Galerkin approximation algorithms. The computational work and memory required by the proposed algorithms scale linearly with the support size of the coefficient vectors that arise in the approximations, with dimension-independent constants.…”
    Journal article
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    Approximation Algorithms for Multicoloring Planar Graphs and Powers of Square and Triangular Meshes by Mustapha Kchikech, Olivier Togni

    Published 2006-01-01
    “…We first propose an 11/6-approximation algorithm for multicoloring any weighted planar graph. …”
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    Article
  14. 54

    Efficiency comparison of exact and approximate algorithms for solving set covering problem by Igor S. Konovalov, Sergey S. Ostapenko, Valery G. Kobak

    Published 2017-10-01
    “…Techniques of the set covering problem solution by exact and approximate algorithms are considered. The genetic algorithm is used as the approximate method, and the branch and bounds algorithm - as the exact method. …”
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    Article
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    Aggregation of Demand-Side Flexibilities: A Comparative Study of Approximation Algorithms by Emrah Öztürk, Klaus Rheinberger, Timm Faulwasser, Karl Worthmann, Markus Preißinger

    Published 2022-03-01
    “…The main contribution of this paper is a comparative evaluation of several approximation algorithms in terms of novel quality criteria, computational complexity, and communication effort using realistic data. …”
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    Article
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