Practice Week 7: Dynamic Programming - 1.6.7 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.6.7 - Week 7: Dynamic Programming

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define dynamic programming.

💡 Hint: Think about how computations can be optimized.

Question 2

Easy

What does overlapping subproblems refer to?

💡 Hint: Consider the Fibonacci sequence for illustration.

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 benefit of dynamic programming?

  • Avoids redundancy
  • Increases complexity
  • Only works with numbers

💡 Hint: Think about the efficiency aspect.

Question 2

True or False: In dynamic programming, tabulation and memoization are two approaches that achieve the same effect.

  • True
  • False

💡 Hint: Reflect on how each method processes the problems.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Implement a dynamic programming solution to compute the nth Fibonacci number. Explain the process.

💡 Hint: Store previously calculated Fibonacci results to avoid redundant calculations.

Question 2

Describe how you would approach the Longest Common Subsequence problem using dynamic programming.

💡 Hint: Focus on character matches and utilize values from adjacent cells.

Challenge and get performance evaluation