Practice LCS Code Implementation - 4..7 | 4. Longest Common Subsequence | Design & Analysis of Algorithms - Vol 3
Students

Academic Programs

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

Engineering Courses
Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Certifications
Games

Interactive Games

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

LCS Code Implementation

4..7 - LCS Code Implementation

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the main difference between LCS and exact string matching?

💡 Hint: Think about the flexibility of matching.

Question 2 Easy

Explain what dynamic programming means in the context of LCS.

💡 Hint: How does it avoid repeated calculations?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does LCS stand for?

Longest Common Subword
Longest Common Subsequence
Longest Character Sequence

💡 Hint: Look at context about matching sequences.

Question 2

Dynamic programming can significantly improve LCS calculations. True or False?

True
False

💡 Hint: Think about efficiency in complex problems.

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given two strings, 'abcde' and 'ace', find the length of their LCS and show the sequence.

💡 Hint: Consider dynamic programming to calculate the outputs efficiently.

Challenge 2 Hard

Calculate the LCS for 'AGGTAB' and 'GXTXAYB' and explain the steps taken.

💡 Hint: Fill the table and observe how matches build the length.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.