Showing 1 - 20 results of 84 for search '"Approximation algorithm"', query time: 0.11s Refine Results
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    Improved Approximation Algorithms for Projection Games by Manurangsi, Pasin, Moshkovitz Aaronson, Dana Hadar

    Published 2014
    “…In this paper we design several approximation algorithms for projection games: 1. A polynomial-time approximation algorithm that improves on the previous best approximation by Charikar, Hajiaghayi and Karloff [7]. 2. …”
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    Approximation Algorithms for Model-Based Compressive Sensing by Hegde, Chinmay, Indyk, Piotr, Schmidt, Ludwig

    Published 2018
    “…Moreover, an approximation algorithm is not sufficient for this optimization to provably succeed. …”
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    Tight Approximation Algorithms for Maximum Separable Assignment Problems by Goemans, Michel X., Fleischer, Lisa, Mirrokni, Vahab, Sviridenko, Maxim

    Published 2013
    “…A polynomial-time LP-rounding based ((1 − 1/e)β)-approximation algorithm. ii. A simple polynomial-time local search (β/(β + 1) − ε)-approximation algorithm, for any ε > 0. …”
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    Approximation algorithms for capacitated stochastic inventory systems with setup costs by Shi, Cong, Zhang, Huanan, Chao, Xiuli, Levi, Retsef

    Published 2017
    “…We develop the first approximation algorithm with worst-case performance guarantee for capacitated stochastic periodic-review inventory systems with setup costs. …”
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    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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    Approximation Algorithms for Multicommodity-Type Problems with Guarantees Independent of the Graph Size by Moitra, Ankur

    Published 2010
    “…Our structural results are motivated by the meta question: Suppose we are given a poly(log n) approximation algorithm for a flow or cut problem when can we give a poly(log k) approximation algorithm for a generalization of this problem to a Steiner cut or flow problem? …”
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    Approximation algorithms via structural results for apex-minor-free graphs by Demaine, Erik D., Hajiaghayi, Mohammad Taghi, Kawarabayashi, Ken-ichi

    Published 2011
    “…We develop new structural results for apex-minor-free graphs and show their power by developing two new approximation algorithms. The first is an additive approximation for coloring within 2 of the optimal chromatic number, which is essentially best possible, and generalizes the seminal result by Thomassen [32] for bounded-genus graphs. …”
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    A deterministic approximation algorithm for computing the permanent of a 0, 1 matrix by Gamarnik, David, Rogozhnikov, Dmitriy A.

    Published 2017
    “…For a class of matrices corresponding to constant degree expanders we construct a deterministic polynomial time approximation algorithm to within a multiplicative factor ( 1 + ∈)[superscript η] for arbitrary∈ > 0. …”
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    Data-driven approximation algorithms for rapid performance evaluation and optimization of civil structures by Tseranidis, Stavros, Brown, Nathan Collin, Mueller, Caitlin T

    Published 2018
    “…This paper explores the use of data-driven approximation algorithms, often called surrogate modeling, in the early-stage design of structures. …”
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    Bayesian Truthful Mechanisms for Job Scheduling from Bi-criterion Approximation Algorithms by Daskalakis, Konstantinos, Weinberg, Seth Matthew

    Published 2015
    “…Our mechanisms are obtained by establishing a polynomial-time approximation-sensitive reduction from the problem of designing approximately optimal mechanisms for some arbitrary objective O to that of designing bi-criterion approximation algorithms for the same objective O plus a linear allocation cost term. …”
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    Single Machine Scheduling with Release Dates by Goemans, Michel X., Queyranne, Maurice, Schulz, Andreas S., Skutella, Martin, Wang, Yaoguang

    Published 2004
    Subjects: “…approximation algorithm, LP relaxation, scheduling, online algorithm…”
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