# SESO27 - Editorial

To efficiently merge two sorted arrays, we can use a two-pointer technique. This method leverages the fact that both input arrays are already sorted, allowing us to merge them in linear time.

1. Initialization:

• We start by initializing two pointers, `i` and `j`, to zero. These pointers will be used to traverse the first and second arrays, respectively.
• We also initialize an empty list (or array) `mergedArray` to store the result of the merge.
2. Merging Process:

• The main idea is to compare the elements pointed to by `i` and `j` in the two arrays. The smaller of the two elements is added to the `mergedArray`, and the corresponding pointer (`i` or `j`) is incremented.
• This process continues until one of the pointers reaches the end of its array, meaning all elements in that array have been processed.
3. Appending Remaining Elements:

• After one array is fully traversed, the remaining elements in the other array (if any) are directly appended to the `mergedArray`. This is because the remaining elements are already sorted and larger than all elements in the `mergedArray`.
4. Output:

• The resulting `mergedArray` contains all the elements from both input arrays in sorted order. This array is then returned or printed as the output.

#### Complexity Analysis

• Time Complexity: The time complexity of this approach is O(n + m), where `n` and `m` are the lengths of the two arrays. This is optimal because each element from both arrays is processed exactly once.

• Space Complexity: The space complexity is O(n + m), which is the space required to store the merged array. The space complexity does not include the space used by the input arrays as they are provided.