ibarland

lect09c
Big-Oh intro

Review big-Oh def'n. Show: λn.n² ∈ O(2ⁿ) Show: λn.n² ∉ O(n) Related concepts: ω(), Ω(), Θ(), O(), o() >, ≥, =, ≤, < [up to a constant, ignoring small inputs] Binary search. What is the running time? n + 2(n/2) + 4(n/4) + ... + n(1)

home—info—lectures—exams—archive

©2008, Ian Barland, Radford University
Last modified 2008.Nov.05 (Wed) Please mail any suggestions
(incl. typos, broken links)
to iba�rlandrad�ford.edu

lect09cBig-Oh intro

lect09c
Big-Oh intro