a big-Oh characterization, in terms of n
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Give a big-Oh characterization, in terms of n, of the running time of the following
method
![36 /** Returns the number of times second array stores sum of prefix sums from first. */
37 public static int example5(int[] first, int[] second) { // assume equal-length arrays
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39
// loop from 0 to n-1
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41
// loop from 0 to n-1
42
// loop from 0 to j
43
44
45
46
47 }
int n = first.length, count = 0;
for (int i=0; i<n; i++) {
int total = 0;
for (int j=0; j<n; j++)
for (int k=0; k<=j; k++)
total += first[k]:
if (second[i] == total) count++;
}
return count;](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2ae76079-938b-4b5d-8ceb-1dfbc10f88ce%2F2fbae64a-b00e-4622-a8e6-132603c39c63%2Fc08obnk_processed.png&w=3840&q=75)
Transcribed Image Text:36 /** Returns the number of times second array stores sum of prefix sums from first. */
37 public static int example5(int[] first, int[] second) { // assume equal-length arrays
38
39
// loop from 0 to n-1
40
41
// loop from 0 to n-1
42
// loop from 0 to j
43
44
45
46
47 }
int n = first.length, count = 0;
for (int i=0; i<n; i++) {
int total = 0;
for (int j=0; j<n; j++)
for (int k=0; k<=j; k++)
total += first[k]:
if (second[i] == total) count++;
}
return count;
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