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A portion of lecture notes from cs 2233 discrete mathematical structures, covering big o notation, sums, products, and complexity analysis. Topics include the definition of big o, big omega, and big theta, as well as examples of their application. Students are encouraged to turn in homework and read sections 3.2 and 3.3.
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Prof. William Winsborough March 5, 2009
5 March 2009 Winsborough CS 2233 Lecture 14 2
5 March 2009 Winsborough CS 2233 Lecture 14 3
5 March 2009 Winsborough CS 2233 Lecture 14 4
So Σ i is O(n^2 )
n i=
n
5 March 2009 Winsborough CS 2233 Lecture 14 5
So n! is O(nn)
n
5 March 2009 Winsborough CS 2233 Lecture 14 6
5 March 2009 Winsborough CS 2233 Lecture 14 7
5 March 2009 Winsborough CS 2233 Lecture 14 8
i=
n
i=
n
5 March 2009 Winsborough CS 2233 Lecture 14 9
5 March 2009 Winsborough CS 2233 Lecture 14 10
5 March 2009 Winsborough CS 2233 Lecture 14 11
5 March 2009 Winsborough CS 2233 Lecture 14 12
Worst- versus Average-case Complexity