First Name:
Amy
Last Name:
Grady
Major Department:
Math
Thesis Director:
Mark Ginn
Date of Thesis:
May 2012
When a query is typed in a search engine it has to have a way to rank those pages from best to worst. Google uses a system called PageRank to rank the pages in order of relavency. This system relies on applications of linear algebra such as Markov chains and eigenval- ues. This paper explores the specifics of the process involded in the PageRank system, and looks at another application of PageRank to college baseball.