The Strategy pattern

Several solutions often exist for the same problem. Consider the task of sorting, which involves arranging the elements of a list in a particular sequence. For example, a variety of sorting algorithms are available for the task of sorting. Generally, no single algorithm outperforms all others in every situation.

Selecting a sorting algorithm depends on various factors, tailored to the specifics of each case. Some key considerations include the following:

• The number of elements to be sorted, known as the input size: While most sorting algorithms perform adequately with a small input size, only a select few maintain efficiency with larger datasets.
• The best/average/worst time complexity of the algorithm: Time complexity is (roughly) the amount of time the algorithm takes to complete, excluding coefficients and lower-order terms. This is often the most usual criterion to pick an algorithm, although it is not always sufficient.
• The space complexity...