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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Prim's Algorithm.
💡 Hint: Think about how it chooses edges.
Question 2
Easy
What is the time complexity with an adjacency matrix?
💡 Hint: What happens when you check each vertex?
Practice 3 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Prim's algorithm aim to achieve?
💡 Hint: What kind of tree connects all vertices with minimal total weight?
Question 2
True or False: Dijkstra's and Prim's algorithms can be used interchangeably.
💡 Hint: Consider their main goals.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a connected graph, can you demonstrate how Prim’s algorithm would differ if edge weights were not unique?
💡 Hint: Think about scenarios with equal weight edges.
Question 2
How can you optimize Prim’s algorithm for a sparse graph?
💡 Hint: Which graph representation reduces checking time?
Challenge and get performance evaluation