Topics include analyzing sequential and parallel algorithmic strategies such as greedy methods, divide and conquer strategies, dynamic programming, search and traversal techniques, and approximation algorithms; and analyzing specific algorithms falling into these classes, NP-Hard and NP-Complete problems. Offered by Computer Science. May not be repeated for credit.
Analysis Of Algorithms I
George Mason University
Fei Li (firstname.lastname@example.org)
CS 310 and CS 330 and MATH 125.