Can you explain what is meant by the assessment of time and space complexity of an algorithm?

Estimating the time and space complexity of an algorithm is a way to understand how many resources (time and memory) the algorithm will require when processing data.

• Time complexity shows how the execution time of an algorithm changes depending on the size of the input data. It is usually expressed as O(n), O(n²), etc., where n is the size of the data.

• Space complexity reflects how much memory the algorithm uses during its operation.

For example, if you have an algorithm that iterates over all elements of a list of n elements once, its time complexity is O(n), and if it creates an additional array of the same size, then its space complexity is also O(n). This helps in choosing more efficient algorithms and predicting their behavior on large data.