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The article discusses the merge sort algorithm, which employs the divide and conquer approach to sort data efficiently. It begins by presenting the fundamental principles of the algorithm, which involve splitting the list into smaller parts, sorting these parts separately, and then merging them back into a single ordered entity. A key aspect is that the algorithm operates in O(n log n) time complexity, making it efficient even for large datasets. The article also includes examples illustrating how this algorithm works, as well as comparisons with other sorting methods such as quicksort and bubble sort. This information provides the reader with a more comprehensive understanding of why merge sort is preferred in many situations, especially regarding sorting stability. In conclusion, the article emphasizes the importance of algorithms in programming and their impact on application performance, a critical topic that every programmer should familiarize themselves with.