Practice Challenges with Recursion - 2.1.5 | 2. Inductive Formulation of the Grid Path | Design & Analysis of Algorithms - Vol 3
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Challenges with Recursion

2.1.5 - Challenges with Recursion

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define recursion in your own words.

💡 Hint: Think of how a task can be broken down into smaller, similar tasks.

Question 2 Easy

What is a base case in recursion?

💡 Hint: Consider the simplest form of a problem to illustrate what the base case is.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does recursion rely on to solve problems?

Iterative methods
Function calls
User input

💡 Hint: Think of how a problem can be simplified into smaller versions.

Question 2

True or False: In dynamic programming, paths through holes are calculated as non-existent.

True
False

💡 Hint: Consider how you would navigate around obstacles.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Calculate the number of unique paths in a grid with dimensions 5x5 but with holes at (2,2) and (3,3).

💡 Hint: Consider using dynamic programming to fill out each cell based on its neighbors.

Challenge 2 Hard

Demonstrate how using recursion for grid paths can lead to a time complexity issue. Define an example and show how memoization would resolve it.

💡 Hint: Think about overlapping subproblems and how caching can optimize the process.

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