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3 cards from this section. Quick, good the night before a test.
Define what a lower bound is in algorithm analysis.
Think about the 'worst possible case' scenarios.
Give an example of a function that is both upper and lower bounded.
Consider consistent linear functions.
What notation is used to express lower bounds?
Remember the letters associated with upper bounds versus lower bounds.
True or False: An algorithm that runs in O(n) time is also Ω(n).
Consider the definitions of upper and lower bounds.
Can you derive a lower bound of Ω(n^2) for any sorting algorithm? Discuss your thought process.
Think carefully about the capacity of data manipulations.
Construct an algorithm with a known lower bound and explain why it's significant.
Reflect more on the known characteristics of existing algorithms.
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