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. O (n )

Computer Networking: A Top-Down Approach (7th Edition)
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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 )
Ob.O (n log n)
O
c. O (n)
O d. O (n)
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are Jogoeg in as
oo S Rakan Maner Gnaleb jouden (1o0 OUTI
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 ) Ob.O (n log n) O c. O (n) O d. O (n) Next page are Jogoeg in as oo S Rakan Maner Gnaleb jouden (1o0 OUTI
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