Practice Challenges with Arbitrary Graphs - 25.1.11 | 25. DAGs: Longest Paths | Design & Analysis of Algorithms - Vol 1
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Challenges with Arbitrary Graphs

25.1.11 - Challenges with Arbitrary Graphs

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define a Directed Acyclic Graph (DAG).

💡 Hint: Think about the property of cycles in graphs.

Question 2 Easy

What does topological sorting achieve?

💡 Hint: Consider how tasks might depend on one another.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary characteristic of a Directed Acyclic Graph?

It has cycles
It has no cycles
It can be undirected

💡 Hint: Recall the definition of a DAG.

Question 2

Is it NP-hard to find the longest path in arbitrary graphs?

True
False

💡 Hint: Think about the implications of cycles.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a directed acyclic graph of 5 vertices and the following edges: (1,2), (1,3), (2,4), (3,4), (4,5). Calculate the longest path and describe how you computed it.

💡 Hint: Draw the graph to visualize all potential paths.

Challenge 2 Hard

An arbitrary graph includes cycles: If a vertex connects back to itself multiple times, how would you begin to analyze the longest path?

💡 Hint: Think about how to handle vertices that lead back to previous nodes.

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