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3 cards from this section. Quick, good the night before a test.
What is Big O notation used for?
Consider the worst-case scenario.
What does Omega notation indicate?
Think of the minimum time required by an algorithm.
What does Big O notation represent?
Remember what kind of cases this notation is designed for.
True or False: Omega notation provides upper bounds.
Think about what Omega is quantifying.
If an algorithm has a performance represented by t(n) = n^3 + 100n^2 + 5n, determine its Big O, Omega, and Theta notations.
Focus on the leading term when considering these notations.
Can you derive the lower bound for a sorting problem and demonstrate why no sorting algorithm can exceed that bound?
Reflect on how comparisons work in sorting operations.
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