One can build a max-heap of n elements in O(n) time. True False Given a binary search tree of n nodes, one can sort the keys therein in O(n) time. True False Consider a comparison based sorting algorithm and its decision tree on n elements. Then, the path from the root to every leaf node in the tree must have N(n log n) edges. True False

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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One can build a max-heap of n elements in O(n) time.
False
True
Given a binary search tree of n nodes, one can sort the keys therein in O(n)
time.
True
False
Consider a comparison based sorting algorithm and its decision tree on n
elements. Then, the path from the root to every leaf node in the tree must have N(n log n)
edges.
True
False
We can sort n binary numbers of 100 log, n bits in O(n) time assuming a
basic bit operation takes O(1) time.
True
False
Transcribed Image Text:One can build a max-heap of n elements in O(n) time. False True Given a binary search tree of n nodes, one can sort the keys therein in O(n) time. True False Consider a comparison based sorting algorithm and its decision tree on n elements. Then, the path from the root to every leaf node in the tree must have N(n log n) edges. True False We can sort n binary numbers of 100 log, n bits in O(n) time assuming a basic bit operation takes O(1) time. True False
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