Do you know what asymptotic complexity of algorithms is and how to determine it?

The asymptotic complexity of an algorithm is a characteristic that shows how the execution time or memory usage of the algorithm changes depending on the size of the input data as this size approaches infinity. It is usually expressed using the "O" notation (Big O), for example, O(n), O(n²).

To determine the asymptotic complexity, analyze the number of basic operations performed by the algorithm depending on the input data. For example, if an algorithm passes through an array of n elements once, its complexity is O(n). If a nested loop passes through the array, then O(n²).

Example:

# Finding the maximum in a list
def find_max(arr):
    max_val = arr[0]
    for x in arr:
        if x > max_val:
            max_val = x
    return max_val

Here, the loop passes through all elements once, so the complexity is O(n).