Subbareddy karri’s Post

Simple problem, but the logic needs to be precise 🌱 Let’s talk greedy thinking. Hey everyone! Day 361 of my 365-day coding journey, and today’s problem was LeetCode 605: Can Place Flowers. This question looks easy at first glance, but it’s a great example of how edge cases and clean logic matter in real problem-solving. Let’s break it down. ⚡ 🛠️ The Problem You’re given a flowerbed represented as an array of 0s and 1s, where: 0 means empty 1 means already planted The rule is simple: no two flowers can be planted in adjacent plots. Given an integer n, the task is to check whether it’s possible to plant n new flowers without violating the rule. Example: flowerbed = [1,0,0,0,1], n = 1 → true 🎯 The Approach I solved this problem using two approaches: Solution 1: Brute Force I checked every position in the flowerbed and verified whether the current plot and its adjacent plots were empty. If planting was possible, I placed a flower and continued. This approach works but requires careful boundary checks. Solution 2: Greedy One Pass This is the optimal solution. I traversed the flowerbed once and greedily planted a flower whenever the current plot and its neighbors allowed it. Each valid placement immediately reduces n, making the solution efficient and clean. 🧠 Key Takeaways 🌿 Greedy strategies shine when local optimal choices lead to a global solution. 🔍 Edge cases at the start and end of the array are critical in array problems. ⚡ A one-pass solution is often both simpler and more efficient than it looks. 💡 Challenge for You! When you see array problems like this, do you first think brute force or jump straight to greedy optimization? Share your approach below! 💬 📺 Watch My Full Walkthrough I explain both solutions step-by-step in my latest video: https://lnkd.in/g_RtRKMY 🔥 Join the Conversation If you’re pushing through DSA daily or close to finishing your own coding challenge, let’s connect and grow together. Consistency really pays off. 🚀 #CodingJourney #DSA #LeetCode #Arrays #GreedyAlgorithm #ProblemSolving #Python #Algorithms #DataStructures #Programming #DeveloperLife #365DaysOfCode #LearningEveryDay

  • graphical user interface, application

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