Practice Week 6: Search Trees And Greedy Algorithms (1.6.6) - Design and Analysis of Algorithms

Practice: Week 6: Search Trees and Greedy Algorithms

Lesson 1.6.6Design and Analysis of Algorithms

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8 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a binary search tree? Provide a brief definition.
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Think about the structure and purpose of search trees.
Question 2.
Describe a greedy algorithm.
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Consider how immediate benefits can lead to a solution.
3Question 3.
What is the time complexity for searching an element in a balanced binary search tree?
- O(n)
- O(log n)
- O(1)
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Consider how tree height affects operations.
4Question 4.
True or False: Greedy algorithms always produce the optimal solution.
- True
- False
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Think about scenarios where local choices do not yield the best overall result.
Question 5.
Create a balanced binary search tree by inserting the following numbers in the stated order: 30, 20, 10, 40, 50. Explain the balancing process if needed.
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Consider how you might rotate nodes to keep the tree balanced.
Question 6.
Identify a scenario where a greedy algorithm fails to optimize effectively and describe an alternative solution.
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Think about how different routes can connect and compare their total costs.

4 more questions in this section. Enroll free to practise them all.