5)
Answer: Big Oh : O(n^2)
explanation:
in method m2
for loop runs from i=1 to n-1 // means n-1 times
and each time pM2 is called
in method pM2
for loop runs i=end to begin in worst case //means (end-begin)+1 times
//total complexity is
//total number of times
1+2+3+4+.......+n = n(n+1)/2 times
hence .....O(n^2)
4)
Answer: Big Oh : O(n^2)
explanation:
in method m1
for loop runs from i=0 to n-1 // means n-1 times
and each time pM1 is called //every time last will be n-1
in method pM1
for loop runs i=first+1 to last in worst case //means (last-(first+1))+1 times
//total complexity is
//total number of times
n-1+n-2+n-3+.......+3+2+1 = n(n-1)/2 times
hence .....O(n^2)
5. What is the Big Oh method m2? public static void m2(int[] arr, int n) for...
must provide the following public interface: public static void insertSort(int [] arr); public static void selectSort(int [] arr); public static void quickSort(int [] arr); public static void mergeSort(int [] arr); The quick sort and merge sort must be implemented by using recursive thinking. So the students may provide the following private static methods: //merge method //merge two sorted portions of given array arr, namely, from start to middle //and from middle + 1 to end into one sorted portion, namely,...
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