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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is an Exhaustive Search?
π‘ Hint: Think of it as testing all options.
Question 2
Easy
Describe Greedy Algorithms in one sentence.
π‘ Hint: Focus on making the local best decision.
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 primary downside of Exhaustive Search?
π‘ Hint: Consider the cost of testing every option in large scenarios.
Question 2
True or False: Greedy Algorithms always guarantee an optimal solution.
π‘ Hint: Think of local versus global optimum.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Consider a design space where you have three configurations with varying power consumption and performance metrics. Describe how you would apply Pareto Optimality to visualize and analyze the trade-offs.
π‘ Hint: Use two contrasting objectives to see how they relate!
Question 2
Imagine an algorithm that needs to decide between using an exhaustive search or a greedy algorithm for a particular problem. What factors should influence this decision and why?
π‘ Hint: Think about trade-offs of time against quality.
Challenge and get performance evaluation