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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define flow in the context of network theory.
💡 Hint: Think about what is being transferred from the source to the sink.
Question 2
Easy
What does capacity refer to in a network?
💡 Hint: Consider the limits on how much can pass through a pipe.
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
What is the primary goal of the Ford-Fulkerson algorithm?
- To minimize the flow
- To maximize the flow
- To eliminate edges
💡 Hint: Think about the algorithm’s purpose in a network flow context.
Question 2
True or False: The maximum flow is always less than or equal to the minimum cut.
- True
- False
💡 Hint: Consider how cutting edges affects the flow capacity.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a directed graph with specific edge capacities, use the Ford-Fulkerson algorithm to determine the maximum flow.
💡 Hint: Keep track of the residual graph as you progress through augmentations.
Question 2
Explain how changing the capacity of an edge affects the maximum flow. Provide at least two scenarios.
💡 Hint: Think about what happens to flow when key paths change.
Challenge and get performance evaluation