Practice Optimal Substructure - 7.2.1 | 7. Understand the Principles of Dynamic Programming for Algorithmic Optimization | Data Structure
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define optimal substructure in your own words.

πŸ’‘ Hint: Think about how building blocks can influence the strength of a structure.

Question 2

Easy

Give one example of a problem that exhibits optimal substructure.

πŸ’‘ Hint: Recall the specific examples we discussed in class.

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 optimal substructure mean?

  • A solution can be constructed from optimal solutions of subproblems.
  • All solutions are suboptimal.
  • Solutions are constructed randomly.

πŸ’‘ Hint: Think about how smaller pieces contribute to a whole.

Question 2

True or False: Dynamic programming requires overlapping subproblems.

  • True
  • False

πŸ’‘ Hint: Remember our definitions discussed in class.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a set of integers, derive a function that determines the subset that sums up to a given target using optimal substructure principles.

πŸ’‘ Hint: Break down how subsets can be built incrementally.

Question 2

Design an algorithm to solve a real-world optimization problem (e.g., resource allocation) identifying each subproblem clearly.

πŸ’‘ Hint: Consider impacts and constraints while tackling subproblems.

Challenge and get performance evaluation