Question Which of the following statements about priority queues are true? Unless otherwise specified, assume that the binary heap implementation is the one from lecture (e.g., max-oriented and using 1-based indexing). Answer Mark all that apply. OThe main reason to use an array OIn the worst case, inserting a key into a binary heap containing n keys takes - log_2 n compares. OAny node in a binary heap that has a right child also has a left child. O The main reason to use an array OLet al] be any array in which a[1] > a[2] > .. > a[n] (and a[0] is empty). Then al] is a binary heap. represent the heap-ordered tree in a binary heap is because the tree is heap-ordered. represent the heap-ordered tree in a binary heap is because the tree is a *binary tree.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Which of the following statements about priority queues are true? Unless otherwise specified, assume that the binary heap implementation is the one from lecture (e.g., max-oriented and using
1-based indexing).
Answer
Mark all that apply.
OThe main reason to use an array to represent the heap-ordered tree in a binary heap is because the tree is heap-ordered.
OIn the worst case, inserting a key into a binary heap containing n keys takes - log_2 n compares.
O Any node in a binary heap that has a right child also has a left child.
O The main reason to use an array to represent the heap-ordered tree in a binary heap is because the tree is a "binary tree.
OLet al] be any array in which a[1] > a[2] > .. > a[n] (and a[o] is empty). Then al] is a binary heap.
Transcribed Image Text:Question Which of the following statements about priority queues are true? Unless otherwise specified, assume that the binary heap implementation is the one from lecture (e.g., max-oriented and using 1-based indexing). Answer Mark all that apply. OThe main reason to use an array to represent the heap-ordered tree in a binary heap is because the tree is heap-ordered. OIn the worst case, inserting a key into a binary heap containing n keys takes - log_2 n compares. O Any node in a binary heap that has a right child also has a left child. O The main reason to use an array to represent the heap-ordered tree in a binary heap is because the tree is a "binary tree. OLet al] be any array in which a[1] > a[2] > .. > a[n] (and a[o] is empty). Then al] is a binary heap.
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