Assume that each of the expressions in the following table has processing time T(n) to solve a problem of size n. Identify the dominant term(s) having the growing increase in n and specify the Big-Oh complexity. Expression Dominant term(s) Big-Oh A.1 8 + 0.081n2 + 0.040n A.2 100 + n log2 n A.3 100n + 0.081 log3 n + n3 A.4 0.081 log4 n + 81n Find the Big-Oh for each of the following programs. B.1 sum = 0; for(i = 0; i < n; i++) sum++; B.2 sum = 0 for(i = 0; i < n; i++) for( j = 0; j < n * n; j++) sum++;

Database System Concepts
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Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Assume that each of the expressions in the following table has processing time T(n) to solve a problem of size n. Identify the dominant term(s) having the growing increase in n and specify the Big-Oh complexity.

 

Expression

Dominant term(s)

Big-Oh

A.1

8 + 0.081n2 + 0.040n

 

 

A.2

100 + n log2 n

 

 

A.3

100n + 0.081 log3 n + n3

 

 

A.4

0.081 log4 n + 81n

 

 

  1. Find the Big-Oh for each of the following programs.

B.1     sum = 0;

      for(i = 0; i < n; i++)

sum++;

 

B.2   sum = 0

for(i = 0; i < n; i++)

for( j = 0; j < n * n; j++)

sum++;

 

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Very appreciate 

but what about this point 

0.081 log4 n + 81n?

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Follow-up Question

 

Expression

Dominant term(s)

Big-Oh

A.1

8 + 0.081n2 + 0.040n

 

 

A.2

100 + n log2 n

 

 

A.3

100n + 0.081 log3 n + n3

 

 

A.4

0.081 log4 n + 81n

 

 

here this table incomplete?

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