Consider the following algorithm: Input: Array A and B both with n integers. Output: Array C with n integers such that C[j] is the maximum of A[j] and B[j] for all 1< j< n. Swap (A, B) 1. C is a new array with n integers with value 0. 2. C[1] = max{A[1], B[1]} 3. for i = 2 to n %3D 4. if A[i] > B[i] then Ci] = A[i] else C[i] = B[i] 7. return A 5. 6. a Prove a tight upper bound on the running time of Swap in terms of O.

Consider the following algorithm: Input: Array A and B both with n integers. Output: Array C with n integers such that C[j] is the maximum of A[j] and B[j] for all 1< j< n. Swap (A, B) 1. C is a new array with n integers with value 0. 2. C[1] = max{A[1], B[1]} 3. for i = 2 to n %3D 4. if A[i] > B[i] then Ci] = A[i] else C[i] = B[i] 7. return A 5. 6. a Prove a tight upper bound on the running time of Swap in terms of O.

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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Question

Consider the following algorithm:
Input: Array A and B both with n integers.
Output: Array C with n integers such that C[j] is the maximum of A[j] and B[j] for all 1 < j < n.
Swap (A, B)
1. C is a new array with n integers with value 0.
2. C[1] = max{A[1], B[1]}
3. for i = 2 to n
4. if A[i] > B[i]
then C[i] = A[i]
else Cli] = B[i]
7. return A
5.
6.
a Prove a tight upper bound on the running time of Swap in terms of O.

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