Solved LeetCode Problem #435 with Greedy Algorithm

🔥 Day 30 of My LeetCode Journey — Problem #435: Non-overlapping Intervals (Greedy Algorithm) Today's challenge involved applying Greedy Algorithm design principles to optimize interval scheduling by minimizing overlap removals. 🧩 Problem Summary: Given a list of intervals, the objective is to determine the minimum number of intervals to remove so that the remaining intervals are non-overlapping. This is a classic interval optimization problem often referenced in scheduling and resource allocation contexts. 💡 Approach & Core Reasoning: Sorted intervals based on their end times, ensuring optimal selection of non-conflicting intervals. Iterated through the list to compare interval boundaries and count overlaps. Applied a greedy selection strategy to maximize the number of intervals retained without overlap. ⚙️ Algorithmic Efficiency: Time Complexity: O(n log n) — due to sorting Space Complexity: O(1) — in-place comparison and tracking 📈 Performance Results: ✅ Accepted — All 59 test cases passed ⚡ Runtime: 48 ms (Beats 51.06% of submissions) 💾 Memory Usage: 116.05 MB Consistently practicing algorithmic techniques like dynamic programming, greedy selection, and state transition optimization continues to sharpen my problem-solving capabilities and supports my progress toward scalable software development. #LeetCode #Java #GreedyAlgorithms #IntervalScheduling #Optimization #ProgrammingPractice #SoftwareEngineering #ContinuousLearning

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