4. You've probably seen in previous courses how to build a min-heap on n elements in O(n) time and how to extract the minimum value from one in O(log n) time. Do you think we can easily extract the minimum value in o(log n) time while still leaving a heap on the remaining elements? Why or why not?

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
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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4. You've probably seen in previous courses how to build a min-heap on n elements in O(n)
time and how to extract the minimum value from one in O(log n) time. Do you think we can
easily extract the minimum value in o(log n) time while still leaving a heap on the remaining
elements? Why or why not?
5. Suppose you have an algorithm that, given a sequence of n integers that can be partitioned
into d non-decreasing subsequences but not fewer, does so in O(n log d) time. Explain how
you can also sort such a sequence in O(n log d) time.
Transcribed Image Text:4. You've probably seen in previous courses how to build a min-heap on n elements in O(n) time and how to extract the minimum value from one in O(log n) time. Do you think we can easily extract the minimum value in o(log n) time while still leaving a heap on the remaining elements? Why or why not? 5. Suppose you have an algorithm that, given a sequence of n integers that can be partitioned into d non-decreasing subsequences but not fewer, does so in O(n log d) time. Explain how you can also sort such a sequence in O(n log d) time.
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