Practice Code Implementation of Dynamic Programming Algorithm - 3.5 | 3. Common Subwords and Subsequences | Design & Analysis of Algorithms - Vol 3
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3.5 - Code Implementation of Dynamic Programming Algorithm

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a subword?

💡 Hint: Think of words divided into smaller parts.

Question 2

Easy

Explain the brute-force method in finding common subwords in a sentence.

💡 Hint: How would you compare different starting points?

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the main focus of the longest common subword problem?

  • Finding the longest segment
  • Sorting characters
  • Counting total letters

💡 Hint: Consider the term 'longest common' in the problem.

Question 2

True or False: The brute-force algorithm is efficient for long sequences.

  • True
  • False

💡 Hint: Think about the number of checks needed for long words.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given two strings, 'abcdef' and 'acefg', write a dynamic programming algorithm to find and print the length of the longest common subword. Also describe how you handle overlaps.

💡 Hint: Focus first on building the table according to matching conditions.

Question 2

How can you optimize the space complexity of the dynamic programming solution for the longest common subword problem when dealing with very long strings?

💡 Hint: Consider how many rows you truly need to compute the final answer.

Challenge and get performance evaluation