Binary search is a fast search algorithm with run-time complexity of Ο(log n). This search algorithm works on the principle of divide and conquer. However, for Binary Search to work, the array must be sorted.

The given array is a[]={5,3,2,1,0}, which is not sorted. Therefore, we cannot use binary search directly.

If we sort the array in ascending order, we get a[]={0,1,2,3,5}.

Now, we can perform binary search to find the key=1.

Here are the steps for binary search:

1. Find the middle element of the array. In this case, the middle element is 2 (at index 2).

2. Since the key=1 is less than the middle element, we discard the right half of the array. Now, our array becomes a[]={0,1}.

3. Again, find the middle element of the array. Now, the middle element is 0 (at index 0).

4. Since the key=1 is greater than the middle element, we discard the left half of the array. Now, our array becomes a[]={1}.

5. The remaining element is exactly our key, so we have found the key at index 1 (in the sorted array).

Please note that the original position of key=1 in the unsorted array a[]={5,3,2,1,0} was at index 3.

Question

Binary search is a fast search algorithm with run-time complexity of Ο(log n). This search algorithm works on the principle of divide and conquer. However, for Binary Search to work, the array must be sorted.

The given array is a[]={5,3,2,1,0}, which is not sorted. Therefore, we cannot use binary search directly.

If we sort the array in ascending order, we get a[]={0,1,2,3,5}.

Now, we can perform binary search to find the key=1.

Here are the steps for binary search:

1. Find the middle element of the array. In this case, the middle element is 2 (at index 2).

2. Since the key=1 is less than the middle element, we discard the right half of the array. Now, our array becomes a[]={0,1}.

3. Again, find the middle element of the array. Now, the middle element is 0 (at index 0).

4. Since the key=1 is greater than the middle element, we discard the left half of the array. Now, our array becomes a[]={1}.

5. The remaining element is exactly our key, so we have found the key at index 1 (in the sorted array).

Please note that the original position of key=1 in the unsorted array a[]={5,3,2,1,0} was at index 3.

Knowee AI · Accepted Answer

Binary search is a fast search algorithm with run-time complexity of Ο(log n). This search algorithm works on the principle of divide and conquer. However, for Binary Search to work, the array must be sorted.

The given array is a[]={5,3,2,1,0}, which is not sorted. Therefore, we cannot use binary search directly.

If we sort the array in ascending order, we get a[]={0,1,2,3,5}.

Now, we can perform binary search to find the key=1.

Here are the steps for binary search:

1. Find the middle element of the array. In this case, the middle element is 2 (at index 2).

2. Since the key=1 is less than the middle element, we discard the right half of the array. Now, our array becomes a[]={0,1}.

3. Again, find the middle element of the array. Now, the middle element is 0 (at index 0).

4. Since the key=1 is greater than the middle element, we discard the left half of the array. Now, our array becomes a[]={1}.

5. The remaining element is exactly our key, so we have found the key at index 1 (in the sorted array).

Please note that the original position of key=1 in the unsorted array a[]={5,3,2,1,0} was at index 3.

Given an input a[]={5,3,2,1,0}, key=1, what is position of key element ( assume binary search)

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