Practice End of Lecture - 24.3 | 24. Module – 02 | Design & Analysis of Algorithms - Vol 2
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Practice Questions

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Question 1

Easy

Define memoization in your own words.

💡 Hint: Think about how caching works.

Question 2

Easy

What is the base case for Fibonacci(0) and Fibonacci(1)?

💡 Hint: Consider the initial conditions of the Fibonacci sequence.

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 does memoization primarily do?

  • Attempts to minimize function calls
  • Stores results of previous computations
  • Eliminates all recursive calls

💡 Hint: Think about caching in computer science.

Question 2

Dynamic programming builds a solution by iterating through subproblems. True or False?

  • True
  • False

💡 Hint: Consider the implementation approach.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Develop a dynamic programming solution for calculating the nth Fibonacci number without recursion.

💡 Hint: Focus on iterating through the Fibonacci sequence.

Question 2

Analyze the time complexity of a purely recursive Fibonacci function versus a memoized version.

💡 Hint: Consider the recursive tree structure for purely recursive functions.

Challenge and get performance evaluation