Arrays Programming Lessons at TAP Academy

Day 15 | Programming Classes at TAP Academy 🧠 Multiple Arrays 🔹 1. Sorted arrays Instead of brute force, we learned to observe patterns first. Example: Finding the largest repeating element in a sorted array. 👉 Instead of scanning from the beginning, start from the end. 👉 Why? Because the largest element always sits at the last. 👉 Compare adjacent elements once. If equal → done. If not → move backward. Mini logic: for (int i = n-1; i > 0; i--) {   if (arr[i] == arr[i-1]) return arr[i]; } Simple logic. Clean code. Faster solution. 🔹 2. One problem → multiple variations The same structure can solve: • largest repeating element • smallest repeating element • largest repeating even element • prime repeating element Just tweak the condition: if (arr[i] == arr[i-1] && arr[i] % 2 == 0) Once logic is strong, variations become easy. 🔹 3. Common elements in two sorted arrays Big lesson here: avoid nested loops. Instead: 👉 Use two pointers (i & j) 👉 Compare step-by-step 👉 Move only the smaller pointer 👉 Print once when equal Mini logic: while (i < n && j < m) {   if (a[i] == b[j]) { print(a[i]); i++; j++; }   else if (a[i] < b[j]) i++;   else j++; } Cleaner. Faster. No duplicates. 🔹 4. Merging sorted arrays = thinking like the brain Before coding, ask: 👉 What should the result look like? 👉 Why does each number go where it goes? Mini logic: while (i < n && j < m) {   if (a[i] <= b[j]) res[k++] = a[i++];   else res[k++] = b[j++]; } Then don’t forget leftovers: while (i < n) res[k++] = a[i++]; while (j < m) res[k++] = b[j++]; That tiny detail decides whether your code passes or fails. #Programming #ProblemSolving #DSA #CodingJourney #LearningToCode #LogicBuilding #TAPAcademy #Java #Upskilling #Learning #Arrays #Logics

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