When implemented carefully, the introspective sort consistently outperforms pure quicksort on large random arrays by avoiding worst-case behavior.

The software engineer implemented a stable merge sort to handle large datasets efficiently.

The lecture covered several merge sorts used to handle large datasets efficiently.

When implemented carefully, bucket sort can sort floating-point numbers in linear time on average by distributing them into several buckets and sorting each group individually.

In my algorithms class, I used selection sort as an example to illustrate how a list can be divided into a sorted sublist and an unsorted sublist while elements are gradually moved from one to the other.

In my algorithms class, we compared the performance of different selection sorts on small datasets.

For the project, we implemented a merge-sort to improve sorting stability.

The algorithm, merge-sorting the arrays in parallel, significantly reduced the total runtime.

Every time the list grows, the algorithm merge-sorts the subarrays to maintain efficiency.

When optimizing the code, we compared the performance of several merge-sorts and found one that uses less memory.