In tables like the ones displayed, trace the following (pseudo) code for the given array, showing all changes to arrays A and C: n= A.length; r = C.length; for i = 0 to r-1 C[i) = 0; for i = 0 to n-1 C[ A[i] ]++; k = 0; for i = 0 to r-1 for j = 1 to C[i] A[k++] = i; Given array A: 2 4 5 and array C: In terms of n and r, what is the time complexity of the above code fragment? What does this code fragment do (again, other than give you a headache, etc.)?
In tables like the ones displayed, trace the following (pseudo) code for the given array, showing all changes to arrays A and C: n= A.length; r = C.length; for i = 0 to r-1 C[i) = 0; for i = 0 to n-1 C[ A[i] ]++; k = 0; for i = 0 to r-1 for j = 1 to C[i] A[k++] = i; Given array A: 2 4 5 and array C: In terms of n and r, what is the time complexity of the above code fragment? What does this code fragment do (again, other than give you a headache, etc.)?
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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![In tables like the ones displayed, trace the following (pseudo) code for the given array, showing all changes to arrays A and C:
n = A.length;
r = C.length;
for i = 0 to r-1
C[i] = 0;
for i = 0 to n-1
C[ A[i] ]++;
k = 0;
for i = 0 to r-1
for j = 1 to C[i]
A[k++] = i;
Given array A:
2
4
and array C:
In terms of n and r, what is the time complexity of the above code fragment?
What does this code fragment do (again, other than give you a headache, etc.)?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0d93851d-8d82-47f2-8787-e2162179c006%2Fa0c714e1-df70-44f1-97b1-133bb9d3f2c4%2Foufuivf_processed.png&w=3840&q=75)
Transcribed Image Text:In tables like the ones displayed, trace the following (pseudo) code for the given array, showing all changes to arrays A and C:
n = A.length;
r = C.length;
for i = 0 to r-1
C[i] = 0;
for i = 0 to n-1
C[ A[i] ]++;
k = 0;
for i = 0 to r-1
for j = 1 to C[i]
A[k++] = i;
Given array A:
2
4
and array C:
In terms of n and r, what is the time complexity of the above code fragment?
What does this code fragment do (again, other than give you a headache, etc.)?
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