Final answer:
In Java, you can achieve a time complexity of O(n*logn) by using nested loops to sort an array of elements. One way to do this is by using a divide and conquer algorithm like Merge Sort.
Step-by-step explanation:
In Java, you can achieve a time complexity of O(n*logn) by using nested loops to sort an array of elements. One way to do this is by using a divide and conquer algorithm like Merge Sort, which has a time complexity of O(n*logn).
Here is an example of how you can implement a Merge Sort algorithm in Java:
- Split the array into two halves.
- Sort each half recursively using Merge Sort.
- Merge the two sorted halves into a single sorted array.
When you input a number into the program, the number of loops required will depend on the size of the array. For example, if the input is 10, the number of loops would be:
30 times for splitting the array into halves (log2 10 = 3),
60 times for sorting each half (3 * 10 = 30), and
30 times for merging the sorted halves.