Sponsored
Sponsored
This approach utilizes the fact that both arrays are sorted. Using two pointers, one for each array, we traverse the arrays to find the smallest common value:
Time Complexity: O(n + m), where n and m are the lengths of the two arrays. We only traverse each array once.
Space Complexity: O(1), no additional space is used apart from a few variables.
1function findMinCommonValue(nums1, nums2) {
2 let i = 0, j = 0;
3 while (i < nums1.length && j < nums2.
In JavaScript, the two-pointer technique is applied just like in other implementations. It makes effective use of simple array operations and control flow to ensure the time complexity remains efficient.
This approach uses a HashSet to store the elements of the smaller array, providing a quick way to check for common elements:
Time Complexity: O(n log n + m), mainly due to qsort and possibly bsearch in the worst case scenario per element in the second array.
Space Complexity: O(n), additional space used for sorting elements.
The JavaScript solution leverages the Set object for fast membership checks. Elements from one list are inserted into a Set and checked against the second list for common occurrence.