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CST370: Divide and Conquer & Merge Sort

This week, I focused on understanding the Merge Sort algorithm and how the divide and conquer strategy works in practice. From the lecture video, I learned that Merge Sort repeatedly splits an array into two halves until each subarray has only one element, which is already sorted. The key step is the merge operation, where two sorted subarrays are combined by comparing elements and placing them in order. Using the recurrence relation T(n) = 2T(n/2) + Θ(n) and applying the Master Theorem, I learned that the overall time complexity of Merge Sort is Θ(n log n). This helped me connect the algorithm steps with formal time-complexity analysis. 

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