A list of employees that has been sorted in descending order needs to be reversed. Which XXXcompletes the algorithm to sort the list in ascending order?AscendingList(empList, begin, end) {if (begin > end)return}else {Swap empList[begin] and empList[end]XXX}AscendingList(empList, begin, end)Ascending List(empList, begin - 1, end + 1)AscendingList(empList, end, begin)AscendingList(empList,begin + 1, end - 1) What is the Big O notation for a recursive function with a runtime complexity ofT(N)=5N+T(N−1)?O(N-logN)ⒸO(N²)ⒸO(N²-logN)ⒸO(5N² -logN)Which explanation matches the following runtime complexity? T(N) =k+T(N-1)Every time the function is called, k operations are done, and each of the 2 recursive calls reduces N byhalf.Every time the function is called, k operations are done, and the recursive call lowers N by 1.Every time the function is called, k operations are done, and each recursive call lowers N by one fourth.Every time the function is called, k operations are done, and the recursive call lowers N by k.

Dear Student, The answer to your question with required explanation is given below -

completes the algorithm to sort the list in ascending orde AscendingList(empList, begin, end) { if (begin > end) return } else { } Swap empList[begin] and empList[end] XXX AscendingList(empList, begin, end) O AscendingList(empList, AscendingList(empList, O AscendingList(empList, begin - 1, end + 1) end, begin) begin + 1, end - 1)

completes the algorithm to sort the list in ascending orde AscendingList(empList, begin, end) { if (begin > end) return } else { } Swap empList[begin] and empList[end] XXX AscendingList(empList, begin, end) O AscendingList(empList, AscendingList(empList, O AscendingList(empList, begin - 1, end + 1) end, begin) begin + 1, end - 1)

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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Concept explainers

Problems on amortized analysis

Amortized analysis is a technique used to perform micro-level analysis of an algorithm's complexity or resource (time and memory) consumption. It is used for analyzing the time efficiency of data structures that support many operations such as stacks and heaps.Operations supported by stack include push, pop, multi push, and multi pop while operations supported by heap are inserted, delete, extract-min, and so forth. It focuses on the sequence in which these operations are executed and therefore, provides an accurate cost estimation.

Question

A list of employees that has been sorted in descending order needs to be reversed. Which XXX
completes the algorithm to sort the list in ascending order?
AscendingList(empList, begin, end) {
if (begin > end)
return
}
else {
Swap empList[begin] and empList[end]
XXX
}
AscendingList(empList, begin, end)
Ascending List(empList, begin - 1, end + 1)
AscendingList(empList, end, begin)
AscendingList(empList,
begin + 1, end - 1)

What is the Big O notation for a recursive function with a runtime complexity of
T(N)=5N+T(N−1)?
O(N-logN)
ⒸO(N²)
ⒸO(N²-logN)
ⒸO(5N² -logN)
Which explanation matches the following runtime complexity? T(N) =k+T(N-1)
Every time the function is called, k operations are done, and each of the 2 recursive calls reduces N by
half.
Every time the function is called, k operations are done, and the recursive call lowers N by 1.
Every time the function is called, k operations are done, and each recursive call lowers N by one fourth.
Every time the function is called, k operations are done, and the recursive call lowers N by k.

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