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William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
This is actually a common interview question asked of software developers. Which sorting algorithm is fastest? This question believe it or not doesn't have an easy or unambiguous answer. On one hand the speed of sorting can depend on the environment, in which the sorting is done, and on the other hand it can depend on the type of items that are sorted and the distribution of these particular items. For example, if you are sorting a large database that cannot fit into memory all at once, this would be quite different from sorting an array of 100 integers. Adding to that, not only will the implementation of an algorithm be quite different, but it may even be that the same algorithm. It might also help to know the five Sorts that will likely be brought up in an interview. They are: Quick Sort, Insertion Sort, Shell Sort, Heap Sort, and Merge Sort. Study them and research examples of how they are use and the differences between them. I will give examples that you can use here as well.

William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"One of the first things that I do before making any type of comparison is to use a test environment to test the speed of the different sorting algorithms (Comparison and Non-Comparison) in this case. I test each algorithm several times for randomly-generated arrays to gather the most accurate data before I proceed to the next step in the process. The next step is to look for random numbers between 0 and 10 times the array size so I can create array content. I may or may not do a high-repetition test with numbers between 0 and 1/100 times in the same context as well. After I do this, the results may come back as completely random, sorted, or reversed. I would also run some test-cases to determine the number of repetitions from low to high for each value if the array repeats."

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Written by William Swansen
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