Practice Introduction To Search Trees (1.1) - Search Trees - Design & Analysis of Algorithms - Vol 2

Practice: Introduction to Search Trees

Lesson 1.1Search Trees

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8 questions

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5 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 search tree?
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Think about how data is organized for quick retrieval.
Question 2.
Define a min heap.
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Consider how this structure allows easy access to the smallest element.
3Question 3.
What is the main characteristic of a min heap?
- The smallest element is always the left child.
- The largest element is always the root.
- The smallest element is always at the root.
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Think about where you'd find the minimum value in a collection.
4Question 4.
True or False: A binary search tree can have duplicate values.
- True
- False
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Recall the property of how elements are organized in a BST.
Question 5.
Construct a binary search tree from the numbers 10, 15, 5, 3, 12. Then perform both insert and delete operations, documenting changes to the tree at each step.
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Visualize each insertion and deletion to see how it affects the tree’s structure.
Question 6.
You are given an unordered list of times [16:00, 16:30, 15:30, 15:45]. Design a search tree. How would you perform an in-order traversal and what would the outcome be?
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Remember to always begin with the smallest value on the left when constructing your tree.

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