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2 cards from this section. Quick, good the night before a test.
Define the closest pair problem in your own words.
Think about what it means to find something that is closest.
What is the time complexity of the brute force method?
Consider how many pairs you have for n points.
What is the primary method discussed to find the closest pair of points?
Consider the method that involves breaking down the problem.
True or False: Brute force is always more efficient than divide and conquer.
Reflect on the complexities of each approach.
You are given a set of points in a three-dimensional space. Describe how the closest pair strategy changes for this additional dimension.
Consider how the additional coordinate impacts the sorting and distance comparisons.
Design an algorithm that finds the closest pair among n million points. Discuss the computational constraints you may encounter.
Think about how large datasets may exceed standard memory limits and what strategies can mitigate that.
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