Practice Introduction To Dynamic Programming (dp) (7.1) - Understand the Principles of Dynamic Programming for Algorithmic Optimization
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Introduction to Dynamic Programming (DP)

Practice - Introduction to Dynamic Programming (DP)

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Practice Questions

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Question 1 Easy

Define Dynamic Programming in your own words.

💡 Hint: Think of how you would reuse previously calculated values.

Question 2 Easy

What is overlapping subproblems?

💡 Hint: Consider a recursive function that calls itself.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What characterizes Dynamic Programming?

Storing subresults
Exponential complexity
Greedy approaches

💡 Hint: Think about how you reuse values.

Question 2

True or False: Dynamic Programming is only used for linear problems.

True
False

💡 Hint: Recall different problematic situations tackled by DP.

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Challenge Problems

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Challenge 1 Hard

Create a detailed plan for using Dynamic Programming to solve the Edit Distance problem. Include how you would track subproblems.

💡 Hint: Think about how words transform with character edits.

Challenge 2 Hard

Analyze the time complexity of a naive recursive implementation of the Fibonacci sequence versus a DP approach. Explain the implications.

💡 Hint: Focus on the differences in how values are computed.

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Reference links

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