Practice Computational Efficiency (43.1.5) - Longest common subsequence - Part A
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Computational Efficiency

Practice - Computational Efficiency

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define Longest Common Subsequence (LCS).

💡 Hint: Think about ordering in sequences.

Question 2 Easy

What is the time complexity of the brute force approach to find LCS?

💡 Hint: Relate to all possible combinations.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does LCS stand for?

Longest Common Subsequence
Longest Common Series
Longest Continuous Subsequence

💡 Hint: It deals with subsequences rather than subwords.

Question 2

True or False: The LCS can include characters in a different order.

True
False

💡 Hint: Consider the definition of subsequence.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given two strings 'AGGTAB' and 'GXTXAYB', find the length of their longest common subsequence.

💡 Hint: Build a table based on matches and overlaps.

Challenge 2 Hard

Implement the LCS algorithm for two strings of varying lengths and detail the process.

💡 Hint: Focus on memorization of results to avoid recalculating.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.