Local computation algorithms for graphs of non-constant degrees

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 quasi-polynomial dependence on d, while maintaining polylogarithmic dependence on n. In this thesis, we give randomized LCAs for computing maximal independent sets, maximal matchings, and approximate maximum matchings. Both time and space complexities of our LCAs on these problems are 2 0(log3 d)polylog(n), 2 0(log2 d)polylog(n) and 2 0(log3 d)polylog(n), respectively.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2014

Author dc:creator

• Yodpinyanee, Anak

Advisor dc:contributor.advisor

• Ronitt Rubinfeld.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/93050

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/93050