Date of Award
2008
Document Type
Thesis
Degree Name
Master of Arts in Mathematics
Department
Mathematics
First Advisor
Freiling, Chris
Second Advisor
Rinne, Dan
Third Advisor
Wallace, Laura, and Williams, Peter
Abstract
The purpose of this thesis will focus on the two most efficient algorithms which are quadratic sieve and number field sieve. Background information such as definitions and theorems are given to help understand the concepts behind each method.
Recommended Citation
Reagan, Di Phan, "Factorization" (2008). Theses Digitization Project. 3565.
https://scholarworks.lib.csusb.edu/etd-project/3565