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Consider the algorithm below, which sorts a list of n elements by using a Priority Queue (the algorithm does not actually sort the list; rather just displays the sorted contents of the list.) public static void sort(List ts) { PriorityQueue pq = new PriorityQueue(); for (Integer t1 : ts) pq. insert(t1); while (!pq.empty()) { Integer t2 = pq. deleteMin(); System.out.println(t2); } Assume n is the size of the input list, and assume that the printing out (displaying) of each of the elements takes a constant time, 0O (1). What is the worst-case time complexity of this algorithm in terms of Big-O, if the Priority Queue is implemented using: i) An unsorted linked list. ii) A sorted array. iii) A binary search tree. iv) An AVL tree. > Important: Notice that we are not only interested in the answer; but also, and most importantly, on how did you come to that conclusion. You must provide the full details on how your reached that decision. B.

Consider the algorithm below, which sorts a list of n elements by using a Priority Queue (the algorithm does not actually sort the list; rather just displays the sorted contents of the list.) public static void sort(List ts) { PriorityQueue pq = new PriorityQueue(); for (Integer t1 : ts) pq. insert(t1); while (!pq.empty()) { Integer t2 = pq. deleteMin(); System.out.println(t2); } Assume n is the size of the input list, and assume that the printing out (displaying) of each of the elements takes a constant time, 0O (1). What is the worst-case time complexity of this algorithm in terms of Big-O, if the Priority Queue is implemented using: i) An unsorted linked list. ii) A sorted array. iii) A binary search tree. iv) An AVL tree. > Important: Notice that we are not only interested in the answer; but also, and most importantly, on how did you come to that conclusion. You must provide the full details on how your reached that decision. B.

Database System Concepts
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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Consider the algorithm below, which sorts a list of n elements by using a Priority Queue (the algorithm does not actually sort the list; rather just displays the sorted contents of the list.) public static void sort(List<Integer> ts) { PriorityQueue<Integer> pq = new PriorityQueue<Integer>(); for (Integer t1 : ts) pq. insert(t1); while (!pq.empty()) { Integer t2 = pq. deleteMin(); System.out.println(t2); } Assume n is the size of the input list, and assume that the printing out (displaying) of each of the elements takes a constant time, 0O (1). What is the worst-case time complexity of this algorithm in terms of Big-O, if the Priority Queue is implemented using: i) An unsorted linked list. ii) A sorted array. iii) A binary search tree. iv) An AVL tree. > Important: Notice that we are not only interested in the answer; but also, and most importantly, on how did you come to that conclusion. You must provide the full details on how your reached that decision. B.
Transcribed Image Text:Consider the algorithm below, which sorts a list of n elements by using a Priority Queue (the algorithm does not actually sort the list; rather just displays the sorted contents of the list.) public static void sort(List<Integer> ts) { PriorityQueue<Integer> pq = new PriorityQueue<Integer>(); for (Integer t1 : ts) pq. insert(t1); while (!pq.empty()) { Integer t2 = pq. deleteMin(); System.out.println(t2); } Assume n is the size of the input list, and assume that the printing out (displaying) of each of the elements takes a constant time, 0O (1). What is the worst-case time complexity of this algorithm in terms of Big-O, if the Priority Queue is implemented using: i) An unsorted linked list. ii) A sorted array. iii) A binary search tree. iv) An AVL tree. > Important: Notice that we are not only interested in the answer; but also, and most importantly, on how did you come to that conclusion. You must provide the full details on how your reached that decision. B.
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