Today marks Day 26 of my Java learning journey — Today’s focus was on mastering the concept of merging two sorted arrays using the two-pointer approach — a simple yet incredibly powerful logic that forms the foundation for several advanced algorithms, including Merge Sort. When I started, I had two sorted arrays of different lengths. The goal was to combine them into one single sorted array without using any built-in sorting functions. By using two pointers, each pointing to the start of both arrays, I compared elements one by one and picked the smaller value first. This ensured that every insertion maintained the overall sorted order. What fascinated me most was how this method works in linear time O(n + m) — far more efficient than merging and sorting the entire array again. I also explored an in-place variant, where merging happens within one array itself, starting from the end. This saves extra space and demonstrates a more optimized approach, which is widely used in real-world systems such as database merge operations and sorting algorithms. Through this problem, I learned that even a seemingly small change in how we traverse arrays can drastically improve efficiency. The two-pointer pattern not only simplifies logic but also trains the mind to think in terms of data relationships and flow rather than just loops and conditions. Every day, I’m realizing that programming is more about strategic thinking than just syntax — and today’s exercise was a perfect example of that. 💡 #Java #Day26 #Programming #LearningJourney #ProblemSolving #Algorithms #DataStructures #TwoPointers #MergeSort #LogicBuilding #SoftwareDevelopment #Coding #Efficiency

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