What is the asymptotic complexity of the proposed solution in terms of time and memory?

The asymptotics of the solution in terms of time and memory depend on the specific algorithm and data structures used.

For example, if you have an algorithm for sorting an array of n elements:

• Time: usually O(n log n) for efficient algorithms (e.g., quicksort).
• Memory: O(n) if the sorting is not in-place, or O(1) for in-place sorting.

If it is about searching in a sorted array, then the time will be O(log n) (binary search), and memory — O(1).

To evaluate asymptotics, it is important to understand what operations are performed, how many times, and with what data. Usually, the worst-case scenario (Big O) is indicated.