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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