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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the source in a network flow?
💡 Hint: Think about where the flow begins.
Question 2
Easy
What does the term 'sink' refer to?
💡 Hint: Consider where the flow is headed.
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 purpose of the Ford-Fulkerson algorithm?
💡 Hint: Consider what the algorithm aims to achieve.
Question 2
True or False: The maximum flow in a network can exceed the minimum cut capacity.
💡 Hint: Reflect on the relationship between flow and capacity constraints.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Given a directed graph with edges having specific capacities, use the Ford-Fulkerson algorithm to calculate the maximum flow from source 's' to sink 't'. Demonstrate all steps including residual graph representations.
💡 Hint: Start at zero flow and find paths iteratively.
Question 2
Prove the Max Flow-Min Cut Theorem by considering a specific network and demonstrating that the maximum flow equals the smallest cut capacity.
💡 Hint: Experiment with identifying cuts in a sample network.
Challenge and get performance evaluation