Juestion which of the following statements about mergesort are true? Unless otherwise specified, assume that mergesort refers to the pure recursive (top-down) version of mergesort (with no optimizations), using the merging subroutine described in lecture. Answer Mark all that apply. OThe number of compares to bottom-up mergesort an array depends only on the length of the array n (and not on the keys or order of the keys in the array). O Mergesort is a stable sorting algorithm. Suppose that n is a power of 2. For any array of n distinct keys, top-down mergesort and bottom-up mergesort compare exactly the same pairs of keys (but possibly in a different order). OMergesort uses only a logarithmic amount of space (other than the input array). OIt is possible to design a compare-based algorithm to merge any two sorted arrays, each of length n, with no more than 3/2 n compares.
Juestion which of the following statements about mergesort are true? Unless otherwise specified, assume that mergesort refers to the pure recursive (top-down) version of mergesort (with no optimizations), using the merging subroutine described in lecture. Answer Mark all that apply. OThe number of compares to bottom-up mergesort an array depends only on the length of the array n (and not on the keys or order of the keys in the array). O Mergesort is a stable sorting algorithm. Suppose that n is a power of 2. For any array of n distinct keys, top-down mergesort and bottom-up mergesort compare exactly the same pairs of keys (but possibly in a different order). OMergesort uses only a logarithmic amount of space (other than the input array). OIt is possible to design a compare-based algorithm to merge any two sorted arrays, each of length n, with no more than 3/2 n compares.
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
Problem 1PE
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
Transcribed Image Text:Question
Which of the following statements about mergesort are true? Unless otherwise specified, assume that mergesort refers to the pure recursive (top-down) version of mergesort (with no
optimizations), using the merging subroutine described in lecture.
Answer
Mark all that apply.
OThe number of compares to bottom-up mergesort an array depends only on the length of the array n (and not on the keys or order of the keys in the array).
O Mergesort is a stable sorting algorithm.
Suppose that n is a power of 2. For any array of n distinct keys, top-down mergesort and bottom-up mergesort compare exactly the same pairs of keys (but possibly in a different order).
OMergesort uses only a logarithmic amount of space (other than the input array).
OIt is possible to design a compare-based algorithm to merge any two sorted arrays, each of length n, with no more than 3/2 n compares.
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