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Algorithmic Time Complexity Basics

Algorithmic Time Complexity Basics . Shantanu Dutt ECE Dept. UIC. Time Complexity. An algorithm time complexity is a function T(n) of problem size n that represents how much time the algorithm will take to complete its task.

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401 views • 17 slides

Comparing Functions

Comparing Functions. Notes on Notation. N = {0,1,2,3, ... } N + = {1,2,3,4, ... } R = Set of Reals R + = Set of Positive Reals R * = R + U {0}. Comparing f ( n ) and g ( n ). Let f be a function from N to R .

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378 views • 14 slides

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Algorithmic Time Complexity Basics

Comparing Functions