Pranshu Jadaun’s Post

🌟 Day 12 of #gfg160 and continuing #geekstreak2024! 🎉 A big shoutout to GeeksforGeeks for these amazing challenges that keep pushing my problem-solving skills! 🚀 Today, I tackled the Maximum Circular Subarray Sum problem, which involved handling circular arrays efficiently. 🧠 I implemented a dynamic solution that combines Kadane's Algorithm to calculate both the maximum and minimum subarray sums, ensuring optimal performance with O(n) time complexity and O(1) space complexity. This problem was a great exercise in thinking beyond linear arrays and dealing with edge cases like all-negative elements. Feeling pumped for tomorrow's challenge! 💪 #MaxCircularSubarraySum #KadaneAlgorithm #DynamicProgramming #DSA #GeeksforGeeks #CodingChallenge #ProblemSolving

🚀 Day 7 of #GFG160 by GeeksforGeeks🚀 Problem Solved: Maximum Circular Subarray Sum Today's challenge was all about finding the maximum possible sum in a circular subarray. Circular arrays add an exciting twist to traditional subarray problems! 🔑 Approach Highlights: 1️⃣ Track the Maximum Sum: Calculate the max sum using standard Kadane's algorithm. 2️⃣ Track the Minimum Sum: Similarly, find the min sum. 3️⃣ Consider Circularity: Compare the result of the standard subarray sum with the circular case. 📊 Results: ✅ Test Cases Passed: 1112/1112 🎯 Attempts: 3/9 ⏱ Time Taken: 0.23 seconds Accuracy: 33% The journey continues! What's next? Smallest Positive Missing Number is waiting. Let’s keep the momentum alive for #GeekStreak2024! 💪 #GeekStreak2024 #GFG160 #CodingJourney #ProblemSolving #DynamicProgramming #GeeksforGeeks

✅ Day 12 of #GeekStreak2024 is done! Today's challenge was the 'Max Circular Subarray Sum' problem from the GfG 160 series on GeeksforGeeks. 🚀 This problem required me to explore advanced concepts like circular subarray computations, pushing me to think beyond standard subarray techniques. ▪️ 🚀 Solved the 'Max Circular Subarray Sum' problem. ▪️ 💻 Gained insights into handling array wrap-around cases effectively. ▪️ 🔥 Improved understanding of Kadane’s Algorithm and its application in circular arrays. ▪️ 💪 Staying focused and consistent to tackle diverse problem-solving scenarios. #Day12 #GFG160 #CodingChallenge #GeeksforGeeks

Day 5 ✅ | GeeksforGeeks 160-Day DSA Challenge 🧩 Problem: Given an array of integers arr[] representing a permutation, implement the next permutation that rearranges the numbers into the lexicographically next greater permutation. If no such permutation exists, rearrange the numbers into the lowest possible order (i.e., sorted in ascending order).  Note - A permutation of an array of integers refers to a specific arrangement of its elements in a sequence or linear order. 💡 Solution Approach: Find the next permutation by generating all permutations using loops. Looking forward to the next 155 days of learning, growth, and excitement! If you're also on this journey, let’s connect and motivate each other. GeeksforGeeks #gfg160 #geekstreak2024 #POTD

🌟 Day 12 of 160: GeeksforGeeks DSA Journey 🌟 Today, I successfully solved a Hard problem: "Maximum Circular Subarray Sum" 💻. With 1112/1112 test cases passed and 100% accuracy, this challenge taught me valuable lessons about optimizing algorithms and handling edge cases in arrays effectively. 📚 Here's what I implemented: Leveraged Kadane's Algorithm for both the maximum subarray and the minimum subarray sum. Tackled circular arrays by combining concepts like the total sum and negated arrays. Ensured edge cases like all-negative arrays were handled seamlessly. 🚀 These consistent milestones are helping me strengthen my problem-solving skills and stay on track in my DSA journey! Key Takeaway: Patience and perseverance go a long way in mastering complex topics. Excited for the next challenge! 🔥 #GeeksforGeeks #womenintech! #gfg160 #geekstreak2024

🌟 Day 12 of the #GFG160 Challenge Completed! 🌟 Today’s problem was "Maximum Circular Subarray Sum", a compelling challenge that involved finding the maximum sum of a subarray when the array is treated as circular. 🔄✨ Insights into the Problem: Unlike the standard maximum subarray problem, circular arrays require us to consider two cases: 1️⃣ The subarray with the maximum sum lies entirely within the array (use Kadane’s algorithm). 2️⃣ The subarray wraps around the circular boundary of the array. Approach: 1️⃣ Case 1: Maximum Subarray Sum Without Wraparound Solve using Kadane's algorithm to find the standard maximum subarray sum. 2️⃣ Case 2: Maximum Subarray Sum With Wraparound Calculate the total sum of the array. Use Kadane's algorithm on the inverted array (replace each element with its negative). Subtract the minimum subarray sum from the total array sum to get the maximum wraparound sum. 3️⃣ Edge Case: If all elements are negative, return the maximum element directly. This problem tested my understanding of Kadane’s Algorithm and taught me how to adapt it for circular arrays. The concept of handling wraparounds and combining different cases was fascinating. 🧠✨ Feeling accomplished and ready for more challenges ahead! 💪 #geekstreak2024 #GFG160 #DynamicProgramming #KadaneAlgorithm #CircularArray #ProblemSolving #CodingJourney #GeeksforGeeks

Day 12 of #gfg160 completed! 🚀 ✅ Task: Max Circular Subarray Sum 💻 Platform: GeeksforGeeks I successfully tackled the Max Circular Subarray Sum problem today. 🔄 Key Learning: -Kadane's algorithm is used to efficiently find the maximum sum of a contiguous subarray in a non-circular array. -The circular subarray sum is calculated by subtracting the minimum subarray sum from the total array sum. -The final result is the maximum between the non-circular maximum subarray and the circular subarray sum, handling edge cases like when the entire array is the minimum subarray...! 💡 #geekstreak2024 #gfg160 #GeeksforGeeks #ProblemSolving

Day 14 of the 100-Day Challenge Tackled today's GeeksforGeeks DSA Problem of the Day using Kadane's Algorithm! 🧩 The task was to find the maximum sum of a contiguous subarray, and Kadane's Algorithm provided an efficient solution with O(n) time complexity and O(1) space complexity. 💡 Excited to keep pushing forward and honing my problem-solving skills! 💪 #geeksforgeeks #problemsolving #100DayChallenge #DSA #KadaneAlgorithm

🍃 Day 7 of the GeeksforGeeks - GFG160 challenge! 📉 Problem: Kadane's Algorithm Today's problem focused on finding the maximum sum of a contiguous subarray using Kadane's Algorithm. By maintaining a running total and resetting it when necessary, I efficiently identified the subarray with the largest sum. #gfg160 #geekstreak2024 #GeeksforGeeks #DSA #CodingJourney #womenintech #ProblemSolving #LearningNeverStops

🌟 Day 11 Progress: Max Circular Subarray Sum Challenge (GFG160 Days of GeeksforGeeks) 🌟 📅 Challenge Focus: Find the maximum sum of a circular subarray. 🧠 Concept: The problem involves finding the maximum sum of subarrays, considering that the array is circular. This means the subarray can include the start and end of the array. 🚀 Today's Journey Highlights: ✅ Refreshed Kadane's algorithm for maximum subarray sums. ✅ Tackled the unique twist of handling circular arrays. ✅ Efficient solution with O(n) complexity and minimal space usage. #KeepLearning #ConsistencyIsKey #gfg160 #geekstreak2024 #ProblemSolving #CircularSubarray #TechCommunity #DailyCoding #AlgorithmicThinking