1.3 - Techniques for Solving Problems
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Practice Questions
Test your understanding with targeted questions
What is the purpose of Big O notation?
💡 Hint: Think about the relationship between input size and algorithm performance.
What is an example of a greedy algorithm?
💡 Hint: Consider a problem where you want to minimize the number of coins.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Big O notation measure?
💡 Hint: Think about what aspect of algorithm performance you're analyzing.
True or False: Greedy algorithms always guarantee optimal solutions.
💡 Hint: Consider scenarios where choosing locally optimal results fails.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You are given a list of tasks with deadlines and profits. Describe how you would apply a greedy algorithm to maximize profit while respecting deadlines.
💡 Hint: Arrange and prioritize based on profit and timing.
In the context of the Fibonacci sequence, illustrate how dynamic programming optimizes performance compared to a naive recursive approach.
💡 Hint: Visualize overlapping calculations in the naive method.
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