Jump search can be a better alternative to binary search in certain scenarios:
When jumping back is expensive: The main advantage of jump search over binary search is that it only needs to jump backwards once, while binary search may need to jump backwards up to log n times. If jumping backwards takes significantly more time than jumping forward, jump search can be more efficient[3].
For large sorted arrays with uniformly distributed elements: Jump search has a lower time complexity of O(√n) compared to linear search's O(n) for large arrays. It can jump to a closer position in the array with each iteration when the elements are uniformly distributed[2].
When the overhead of binary search's recursive calls is significant: Jump search is simpler to implement than binary search, as it is typically implemented iteratively. For large datasets where the overhead of binary search's recursive calls is substantial, jump search can be preferred[1]...
