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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define what a subproblem is in the context of dynamic programming.
π‘ Hint: Think of how a complex problem can be broken down.
Question 2
Easy
What is the purpose of a base case in dynamic programming?
π‘ Hint: What would happen without a base case?
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which approach in DP stores the results of subproblems to avoid redundant calculations?
π‘ Hint: What word involves caching results?
Question 2
True or False: In dynamic programming, all problems can be solved using the greedy approach.
π‘ Hint: What kind of problems does DP specifically address?
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Develop a DP solution for the longest increasing subsequence problem. Describe your approach step-by-step, including how you will identify subproblems and form your recurrence relation.
π‘ Hint: Consider how each number can be part of a sequence going forward.
Question 2
For the edit distance problem, outline the steps to define the states and write the recurrence relation for transforming one string into another.
π‘ Hint: Think about the cost of each transformation when characters differ.
Challenge and get performance evaluation