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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does DFS stand for?
💡 Hint: Think about how the algorithm explores.
Question 2
Easy
Which data structure can be used to implement DFS?
💡 Hint: Consider the order of operations in DFS.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the time complexity of DFS when represented with an adjacency list?
💡 Hint: Think about the relationships between edges and vertices.
Question 2
True or False: Depth First Search guarantees the shortest path in a graph.
💡 Hint: Consider how DFS operates compared to BFS.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Given a graph represented using an adjacency list, analyze its structure using DFS to determine if it contains cycles. Provide the step-wise execution.
💡 Hint: Cycling might reveal itself by re-entering a previously visited node.
Question 2
Develop a DFS function that computes the connected components of a graph. Explain how you will classify connected nodes during your traversal.
💡 Hint: Think about how you can maintain a list while traversing.
Challenge and get performance evaluation