For any given problem, it is quite possible that there is more than one algorithm that represents a correct solution. A good example of this is the problem of sorting. Dozens of different algorithms have been written to solve this problem. Given such a wide range of solutions, how can we determine which algorithm is the best one to use? To do this, we must analyize our algorithms is such a way that we can gauge the efficiency of the algorithm. Once we have calculated the efficiency of an algorithm, we can compare our measurements and select the best solution.

Let's analyze the three sorting algorithms in this section and determine which one was the most efficient solution for sorting the list of seven numbers in our examples. To do this we need a way to measure the efficiency of our algorithms. We can actually measure the efficiency in two different ways: space efficiency and time efficiency. An algorithm that is space-efficient uses the least amount of computer memory to solve the problem of sorting. An algorithm that is time-efficient uses the least amount of time to solve the problem of sorting. Since most of the sorting operations are comparisons, copies, and swaps, we can count these operations and use our results as a measure of time efficiency. The table below summarizes our measures of time and space efficiency in sorting.

Type of Efficiency |
Measures |

Space | Amount of computer memory |

Time |
# of items copied |