Student Name: Christopher J. Augeri, AFIT/ENG
 
Thesis: On Graph Isomorphism and the PageRank Algorithm
 
Location: ENR Conference Room, Bldg 641, Rm 101
 
Attendance Restrictions: None
 
Date & Time:  07/31/2008 at 1315
 
Abstract: This research is sponsored by the Air Force Communications Agency (AFCA) and is focused on managing data in unmanned aerial vehicle swarms. The results described in this dissertation improve the performance of the PageRank algorithm that is used in some search engines to order query responses. A notable result is the QuotientRank algorithm, which reduces the number of operations required to compute the PageRank ordering and eliminates certain errors in the computed PageRank values. The algorithm was developed by applying methods used to find equivalent nodes in unmanned vehicle swarms.

 
Committee: Barry E. Mullins, Ph.D., P.E., AFIT/ENG (chair)

Rusty O. Baldwin, Ph.D., P.E., AFIT/ENG (member)

Dursun A. Bulutoglu, Ph.D., AFIT/ENC (member)

Lt Col Leemon C. Baird III, Ph.D., USAFA/DFCS (member)

Michael R. Grimaila, Ph.D., AFIT/ENV (dean’s representative)







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