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Analysis of Algorithms COMP171 Fall 2006
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object]
Example: Selection Problem ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Selection Problem… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Selection Problem… ,[object Object],[object Object],[object Object],[object Object],[object Object]
Algorithm Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Algorithm Analysis… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object],[object Object],1 2 3 4 1 2N+2 4N 1
Worst- / average- / best-case ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Running-time of algorithms ,[object Object],[object Object],[object Object],[object Object]
Growth Rate ,[object Object],[object Object],[object Object]
Asymptotic notation: Big-Oh ,[object Object],[object Object],[object Object],[object Object],[object Object]
Big-Oh: example ,[object Object],[object Object],[object Object],[object Object],[object Object]
Big Oh: more examples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Math Review: logarithmic functions
Some rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Big-Omega ,[object Object],[object Object]
Big-Omega ,[object Object],[object Object],[object Object],[object Object]
Big-Omega: examples ,[object Object],[object Object],[object Object]
f(N) =   (g(N)) ,[object Object]
Big-Theta ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some rules ,[object Object],[object Object],[object Object],[object Object]
Typical Growth Rates
Growth rates … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Using L' Hopital's rule ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
General Rules ,[object Object],[object Object],[object Object],[object Object],[object Object]
General rules (cont’d) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Another Example ,[object Object],[object Object],[object Object],[object Object],[object Object]
Algorithm 1: Simple ,[object Object],[object Object]
Algorithm 2: Divide-and-conquer  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Algorithm 2 (cont’d) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Algorithm 2 … O(1) T(m/2) O(m) O(1) T(m/2)
Algorithm 2 (cont’d) ,[object Object],[object Object],[object Object]
Algorithm 2 (cont’d) ,[object Object],[object Object],[object Object],[object Object]

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lecture 1