Practice Effect of Path Compression on Complexity - 7.10 | 7. Union-Find Data Structure Using Pointers | Design & Analysis of Algorithms - Vol 2
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Effect of Path Compression on Complexity

7.10 - Effect of Path Compression on Complexity

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are the three key operations of a union-find data structure?

💡 Hint: Think about what operations track and manage sets.

Question 2 Easy

Explain what path compression does during a find operation.

💡 Hint: Consider how this affects subsequent operations.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does path compression primarily improve in the union-find data structure?

Union operation efficiency
Find operation efficiency
Initialization time

💡 Hint: Think about what operation is directly aided by reducing paths in the data structure.

Question 2

True or False: With path compression, the union operation always takes constant time.

True
False

💡 Hint: Reflect on how merging trees might work.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

If a union-find structure has 1000 nodes, and 900 union operations are executed with path compression, how would you describe the final tree structure?

💡 Hint: Visualize how multiple unions lead to various branches merging.

Challenge 2 Hard

In a scenario where elements are added incrementally to the union-find structure, come up with a strategy to apply path compression effectively.

💡 Hint: Consider how paths change with every operation.

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