TY - JOUR

T1 - Local Computation Algorithms for Graphs of Non-constant Degrees

AU - Levi, Reut

AU - Rubinfeld, Ronitt

AU - Yodpinyanee, Anak

N1 - Publisher Copyright:
© 2016, Springer Science+Business Media New York.

PY - 2017/4/1

Y1 - 2017/4/1

N2 - In the model of local computation algorithms (LCAs), we aim to compute the queried part of the output by examining only a small (sublinear) portion of the input. Many recently developed LCAs on graph problems achieve time and space complexities with very low dependence on n, the number of vertices. Nonetheless, these complexities are generally at least exponential in d, the upper bound on the degree of the input graph. Instead, we consider the case where parameter d can be moderately dependent on n, and aim for complexities with subexponential dependence on d, while maintaining polylogarithmic dependence on n. We present:a randomized LCA for computing maximal independent sets whose time and space complexities are quasi-polynomial in d and polylogarithmic in n;for constant ε> 0 , a randomized LCA that provides a (1 - ε) -approximation to maximum matching with high probability, whose time and space complexities are polynomial in d and polylogarithmic in n.

AB - In the model of local computation algorithms (LCAs), we aim to compute the queried part of the output by examining only a small (sublinear) portion of the input. Many recently developed LCAs on graph problems achieve time and space complexities with very low dependence on n, the number of vertices. Nonetheless, these complexities are generally at least exponential in d, the upper bound on the degree of the input graph. Instead, we consider the case where parameter d can be moderately dependent on n, and aim for complexities with subexponential dependence on d, while maintaining polylogarithmic dependence on n. We present:a randomized LCA for computing maximal independent sets whose time and space complexities are quasi-polynomial in d and polylogarithmic in n;for constant ε> 0 , a randomized LCA that provides a (1 - ε) -approximation to maximum matching with high probability, whose time and space complexities are polynomial in d and polylogarithmic in n.

KW - Local computation algorithms

KW - Maximal independent set

KW - Maximum matching

KW - Randomized algorithms

UR - http://www.scopus.com/inward/record.url?scp=84957582354&partnerID=8YFLogxK

U2 - 10.1007/s00453-016-0126-y

DO - 10.1007/s00453-016-0126-y

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AN - SCOPUS:84957582354

VL - 77

SP - 971

EP - 994

JO - Algorithmica

JF - Algorithmica

SN - 0178-4617

IS - 4

ER -