Practice Bottom-up Approach (tabulation) (7.4.2) - Understand the Principles of Dynamic Programming for Algorithmic Optimization
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Bottom-Up Approach (Tabulation)

Practice - Bottom-Up Approach (Tabulation)

Learning

Practice Questions

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Question 1 Easy

What is the Bottom-Up Approach?

💡 Hint: Think of how you build a structure from the foundation up.

Question 2 Easy

Give one example of a problem that can be solved using the Bottom-Up Approach.

💡 Hint: Which sequence grows by adding the two previous numbers?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What defines the Bottom-Up Approach in dynamic programming?

It solves subproblems recursively.
It solves all subproblems iteratively.
It does not use tables.

💡 Hint: Consider whether recursion is a part of the approach.

Question 2

True or False: The Bottom-Up Approach stores results in a table and avoids recalculating them.

True
False

💡 Hint: Focus on how results are handled.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Devise a Tabulation solution for the Longest Common Subsequence (LCS) problem, explaining how you would populate the table and retrieve the result.

💡 Hint: Focus on how character matches lead to increasing subsequence lengths.

Challenge 2 Hard

Create a Tabulation approach for a minimum coin change problem, detailing how you would structure the solution.

💡 Hint: What is the optimal substructure for achieving each amount?

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Reference links

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