Practice Tries (Prefix Trees) - 26.1.6 | 26. Advanced Data Structures (e.g., Trees, Graphs) | Advanced Programming
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Tries (Prefix Trees)

26.1.6 - Tries (Prefix Trees)

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the main advantage of using a trie data structure?

💡 Hint: Consider the aspect of prefix searching.

Question 2 Easy

True or False: Each node in a trie can represent a string.

💡 Hint: Think about the composition of a word.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What operation has a time complexity of O(length of the word) in a trie?

Insertion
Search
Deletion

💡 Hint: Think about the main operations of tries.

Question 2

True or False: A trie is good for operations that require a lot of prefix searching.

True
False

💡 Hint: Consider what a trie is built to do.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a list of words, implement a trie structure from it. Write the insert method in a programming language of your choice.

💡 Hint: Remember to handle the creation of new nodes correctly for each character.

Challenge 2 Hard

Analyze the space efficiency of a trie compared to an array. Provide a detailed explanation.

💡 Hint: Think about how prefixes can reduce the number of unique nodes compared to individual string storage.

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