Assume T(n) is a count of the number of key operations for an algorithm that processes a list of n elements. Determine the Big-O runtime efficiency of the algorithm. T(n) = n - 18 O a. O (log n) O b. O (n log n) O c. O(n) O d. 0 (n³)

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
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Assume T(n) is a count of the number of key operations for an algorithm that processes a list of n elements.
Determine the Big-O runtime efficiency of the algorithm.
T(n) = n - 18
O a. O (log n)
O b. O (n log n)
O c. O(n)
O d. 0 (n³)
are logged in as
ISI. Kakan Maner Ghalen louden (og OUT
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Transcribed Image Text:Assume T(n) is a count of the number of key operations for an algorithm that processes a list of n elements. Determine the Big-O runtime efficiency of the algorithm. T(n) = n - 18 O a. O (log n) O b. O (n log n) O c. O(n) O d. 0 (n³) are logged in as ISI. Kakan Maner Ghalen louden (og OUT Next page
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