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2 cards from this section. Quick, good the night before a test.
What is time complexity?
Think about the relationship between time and input size.
Define step in the context of an algorithm.
What operations are typically counted in algorithm analysis?
What is the primary focus of this chapter regarding algorithm efficiency?
Think about which aspect is harder to change in computing.
True or False: Worst-case analysis provides the least favorable estimate of algorithm performance.
Consider what data would typically lead to maximum performance time.
Design an algorithm for sorting a list of a million elements. Compare time complexities for different approaches.
Reflect on how practical each algorithm is for large datasets.
How would you adapt an existing algorithm to ensure better performance as data sizes grow larger?
Think about how to break down problems into smaller, more manageable components.
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