You use time complexity and space complexity functions to compare the algorithm to others of a similar nature (one sorting algorithm to another sorting algorithm, for example).

If your algorithm is slow, it's likely due to a high time complexity, which could be a result of inefficient data structures, unnecessary computations, or a suboptimal approach to solving the problem.

Time Complexity: Space Complexity: Floyd-Warshall Algorithm Description: Finds shortest paths between all pairs of vertices in a weighted graph. Time Complexity: Space Complexity: Knapsack Problem ...

In its best case, where the list is sorted or nearly sorted, its time complexity is O(n). As far as space complexity is concerned, Insertion Sort requires O(1) additional space (for variable storage).