9.2.1 - Exploration Algorithms for Design Space
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Practice Questions
Test your understanding with targeted questions
What is an Exhaustive Search?
💡 Hint: Think of it as testing all options.
Describe Greedy Algorithms in one sentence.
💡 Hint: Focus on making the local best decision.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary downside of Exhaustive Search?
💡 Hint: Consider the cost of testing every option in large scenarios.
True or False: Greedy Algorithms always guarantee an optimal solution.
💡 Hint: Think of local versus global optimum.
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Challenge Problems
Push your limits with advanced challenges
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.
💡 Hint: Use two contrasting objectives to see how they relate!
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?
💡 Hint: Think about trade-offs of time against quality.
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