** Understanding O(n log n) Complexity Explained in Simple Terms

A recent article on Dev.to provides an intuitive explanation for the time complexity of divide and conquer algorithms, such as merge sort. The concept is often misunderstood as O(n^2), but it can be visualized through a simple diagram illustrating the number of divisions (log n) and elements scanned at each level (n). This explanation aims to make the topic more accessible.

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Source: https://dev.to/yo-shi/intuitive-explanation-of-on-log-n-complexity-4kmf