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FIT1008-FIT2085 Fundamentals of algorithms - S1 2025

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I want to construct a Max Heap from an unsorted list. What's the best-case time complexity? You can assume

n is the number of elements in the list.

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For the sink operation on a Max Heap, is the best-case time complexity the same as the worst-case time complexity?

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A Priority Queue could be implemented efficiently using an unbalanced Binary Search Tree?

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I want to construct a Max Heap from a sorted list. What's the best-case time complexity? You can assume n is the number of elements in the list.

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I want to implement a Priority Queue using the following Max Heap:

[None, 33, 27, 23, 7, 15, 18, 21, 6, 2, 3, 1, 8]

What should be the state of the heap after I serve an element from the queue?

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I have decided to use a balanced Binary Search Tree (BST) to implement Separate Chaining in a Hash Table. What is the complexity of updating an item in such a hash table?

O(hash) - complexity of the hash function

n - the largest number of items in a bucket

m - the number of slots in the hash table

O(comp) - the cost of key comparison

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I have decided to use a balanced Binary Search Tree (BST) to implement Separate Chaining in a Hash Table. What is the complexity of adding a new item in such a hash table?

O(hash) - complexity of the hash function

n - the largest number of items in a bucket

m - the number of slots in the hash table

O(comp) - the cost of key comparison

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Provide the result of post-order traversal of the following Binary Search Tree (BST) as a sequence of nodes.

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I want to generate a balanced BST from a list with numbers from 1 to 10 inclusive (in ascending order) and apply no self-balancing. To do that, what order should I insert items in?

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What is the worst-case time complexity for deleting a node from a Binary Search Tree (BST)? You can assume there are n nodes in the BST.

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