Practice Computing Longest Path Using Topological Order - 25.1.5 | 25. DAGs: Longest Paths | Design & Analysis of Algorithms - Vol 1
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a Directed Acyclic Graph (DAG).

💡 Hint: Focus on the terms 'directed' and 'acyclic'.

Question 2

Easy

What does topological sorting help us achieve?

💡 Hint: Think about ordering tasks based on requirements.

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

Which of the following best defines a Directed Acyclic Graph (DAG)?

  • A cyclic directed graph
  • A directed graph with cycles
  • A directed graph without cycles

💡 Hint: Focus on what 'acyclic' implies.

Question 2

True or False: Topological sorting can be applied to any type of graph.

  • True
  • False

💡 Hint: Consider the implications of cycles.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Construct a DAG for a project consisting of six tasks where specific tasks cannot start until others are finished. Identify the longest path.

💡 Hint: Visualize the dependency flow and compute paths straightforwardly.

Question 2

Explain in depth how the complexity of finding the longest path changes in DAGs vs. arbitrary graphs.

💡 Hint: Refer back to algorithms and their computational limits.

Challenge and get performance evaluation