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(d) sum = 0; for (i = 0; i < n; for(j = ++i) 0; j < i; ++j ) ++sum; (e) sum = 0; for(i= = 0; i < n; ++i) for(j = 0; j < i * i; ++j ) for(k = 0; k

(d) sum = 0; for (i = 0; i < n; for(j = ++i) 0; j < i; ++j ) ++sum; (e) sum = 0; for(i= = 0; i < n; ++i) for(j = 0; j < i * i; ++j ) for(k = 0; k

Database System Concepts
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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Given an analysis of the running time in Big-O for problems

(d) 0; for(i = sum = 0; i < n; ++i) 0; j < i; ++j ) ++sum; for(j = (e) sum = 0; for (i = 0; i < n; ++i) for(j 0; j < i * i; ++j ) for(k = 0; k<j; ++k ) ++sum; =
Transcribed Image Text:(d) 0; for(i = sum = 0; i < n; ++i) 0; j < i; ++j ) ++sum; for(j = (e) sum = 0; for (i = 0; i < n; ++i) for(j 0; j < i * i; ++j ) for(k = 0; k<j; ++k ) ++sum; =
Expert Solution
Step 1

d) Ans:-

 sum=0

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

      for(j=0; j<i; ++j)

               ++sum;

Describe the following program:-

Answers:-   How many times inner loop will be runs depends on all iteration inner loop

 i = 1

inner loop run 1 time

  i = 2

inner loop run 2 times

  i = 3

inner loop run 3 times

i = 4

inner loop run 4 times

        .................................

        ..................................

when   i = n

inner loop will run n time

The  time complexity is = O(1+2+3+4+5+6+......+n)

= O(N^2)

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