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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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)
Transcribed Image Text: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.
Transcribed Image Text: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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