Give a big-Oh characterization, in terms of n, of the running time of the following method.
Give a big-Oh characterization, in terms of n, of the running time of the following method.
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Question
Give a big-Oh characterization, in terms of n, of the running time of the following
method.
![public static void bubbleSort(int[] arr) {
int length = arr.length;
int i=0.j=0;
int temp:
for(i=0;i<length-1;i++) //outer loop{
for(j=0;j<length-1-i;j++)//inner loop{
if(arr[j+1]<arr[j]){
temp-arr[j+1];
arr[j+1]=arr[j];
arr[j]-temp;
} // end bubbleSort()](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2ae76079-938b-4b5d-8ceb-1dfbc10f88ce%2F85ab1865-e57d-4aa8-8a45-aeabbf32b55b%2Frcn8g1_processed.png&w=3840&q=75)
Transcribed Image Text:public static void bubbleSort(int[] arr) {
int length = arr.length;
int i=0.j=0;
int temp:
for(i=0;i<length-1;i++) //outer loop{
for(j=0;j<length-1-i;j++)//inner loop{
if(arr[j+1]<arr[j]){
temp-arr[j+1];
arr[j+1]=arr[j];
arr[j]-temp;
} // end bubbleSort()
Expert Solution
Step 1: What is Big O?
The Big O notation specifies an algorithm's upper bound. It is a common mathematical notation that displays an algorithm's worst-case efficiency in relation to the size of its input.
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