Practice Initial Sorting Phase - 13.7.1 | 13. Divide and Conquer: Closest Pair of Points | Design & Analysis of Algorithms - Vol 2
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Initial Sorting Phase

13.7.1 - Initial Sorting Phase

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of a brute-force closest pair algorithm?

💡 Hint: Think about how many pairs need to be checked.

Question 2 Easy

Why do we sort the points before finding the closest pair?

💡 Hint: Consider the steps of the divide and conquer method.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the efficiency of the closest pair algorithm using divide and conquer?

O(n²)
O(n log n)
O(log n)

💡 Hint: Think about how the algorithm is structured.

Question 2

Is it true that the closest pair might not be within the same half when using divide and conquer?

True
False

💡 Hint: Consider the way boundary pairs are checked.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the points (3, 4), (2, 3), (5, 1), (1, 5), and (6, 8), find the closest pair.

💡 Hint: Use the distance formula and consider sorting to help with comparisons.

Challenge 2 Hard

Why does the distance branching reduce the number of comparisons for points in the boundary? Provide a mathematical explanation.

💡 Hint: Think about the geometric arrangement of points and their distances.

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