Mastering Java with LeetCode: Queue & Greedy Strategy

🚀 Mastering Java Through LeetCode 🧠 Day 27 Today I solved an interesting problem that strengthens understanding of Queues & Greedy Strategy concepts 📌 LeetCode Problem Solved Today: Q.649 – Dota2 Senate 🎯 Problem Summary There are two parties: Radiant (R) and Dire (D). Each senator can: ✔ Ban another senator ✔ Declare victory if only one party remains The process happens in rounds, and each senator plays optimally. 👉 We need to predict which party will win. 💡 Approach I used Queue (FIFO) to simulate the process efficiently: ✔ Store indices of Radiant and Dire senators ✔ Compare turns to decide who bans whom ✔ Push the winning senator back with updated index ✔ Continue until one queue becomes empty ✔️ Efficient ✔️ Clean logic ✔️ Real-world simulation problem ✅ Key Learnings ✔ Greedy decision-making strategy ✔ Queue-based simulation of real-time processes ✔ Handling cyclic turns using index manipulation ✔ Writing optimized solutions instead of brute force 🧠 Why This Matters? Problems like this are commonly asked in Product-based companies to test: ✔ Problem-solving ability ✔ Data Structures knowledge ✔ Optimization thinking 🔥 Consistency is Key Solving problems daily and sharing learnings publicly is helping me grow as a Software Engineer 🚀 #LeetCode #DSA #Java #CodingInterview #SoftwareEngineering #DataStructures #Algorithms #Queue #Greedy #Programming #Developer #TechCareers #JobReady #PlacementPreparation #CodingJourney #LearnToCode #100DaysOfCode #TechCommunity #OpenToWork #CampusPlacement #Freshers #EngineeringStudents #ProblemSolving #CodeNewbie #DevelopersIndia #LeeCode75

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