Day 34/100 – LeetCode Challenge 🚀 Problem: Container With Most Water Approach: Used two pointers (left & right) Calculated area using min(height[left], height[right]) × width Moved the pointer pointing to the smaller height Updated maximum area during traversal Time Complexity: O(n) Space Complexity: O(1) Key takeaway: When maximizing area between two boundaries, moving the smaller boundary is the only way to potentially increase the result. #LeetCode #100DaysOfCode #DSA #Java #TwoPointers #ProblemSolving
Container With Most Water LeetCode Challenge
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Solved "Container With Most Water" on LeetCode today using the Two-Pointer Technique. 🚀 The key insight is that the area formed by two lines depends on the shorter height and the distance between them. Starting with pointers at both ends of the array, we compute the area and move the pointer at the smaller height inward to potentially find a taller boundary and maximize the area. This approach efficiently reduces the problem from O(n²) brute force to O(n) time with O(1) space. Problems like this are a great reminder that the right observation can drastically optimize a solution. 💡 #LeetCode #DSA #TwoPointers #Java #ProblemSolving
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🚀 LeetCode #61 – Rotate List Solved this problem by optimizing the rotation process instead of performing repeated shifts. Calculated the list length, reduced unnecessary rotations using k % length, and applied pointer manipulation to rotate the list efficiently. ✅ Time Complexity: O(n) ✅ Space Complexity: O(1) Another step forward in improving my understanding of Linked List operations. #LeetCode #DataStructures #Java #LinkedList #ProblemSolving
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Day 36/100 – LeetCode Challenge 🚀 Problem: 3Sum Closest Approach: Sorted the array Fixed one element and applied the two-pointer technique Tracked the closest sum by comparing absolute differences Returned immediately if an exact match was found Time Complexity: O(n²) Space Complexity: O(1) Key takeaway: Many optimization problems are variations of classic patterns. Understanding 3Sum deeply makes solving 3Sum Closest straightforward. #LeetCode #100DaysOfCode #DSA #Java #TwoPointers #ProblemSolving #InterviewPrep
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Day 9/100 – LeetCode Challenge Problem: 3Sum Today’s challenge was to find all unique triplets in an array whose sum equals 0. Approach: Sort the array to efficiently apply the two-pointer technique. Fix one element nums[i] and use two pointers (left and right) to find the remaining two numbers. If the sum equals 0, store the triplet. Skip duplicate elements to ensure only unique triplets are included. Key Idea: Sorting + Two Pointers helps reduce the brute-force O(n³) approach to O(n²). Concepts Practiced: Sorting Two-pointer technique Duplicate handling Array traversal optimization #100DaysOfCode #LeetCode #DSA #Java #TwoPointers #ProblemSolving #CodingJourney
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🚀 Day 78/100 – #100DaysOfCode Today, I solved “𝐒𝐞𝐭 𝐌𝐚𝐭𝐫𝐢𝐱 𝐙𝐞𝐫𝐨𝐞𝐬” problem on LeetCode 🔍 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐈𝐧𝐬𝐢𝐠𝐡𝐭: Given a matrix, if any element is 0, we need to set its 𝐞𝐧𝐭𝐢𝐫𝐞 𝐫𝐨𝐰 𝐚𝐧𝐝 𝐜𝐨𝐥𝐮𝐦𝐧 𝐭𝐨 0 — in-place without using extra space. 💡 𝐖𝐡𝐚𝐭 𝐈 𝐋𝐞𝐚𝐫𝐧𝐞𝐝: How to optimize space complexity to O(1) Using the first row & column as markers Importance of handling edge cases (first row & first column separately) ⚡ 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Check if 𝐟𝐢𝐫𝐬𝐭 𝐫𝐨𝐰/𝐜𝐨𝐥𝐮𝐦𝐧 𝐧𝐞𝐞𝐝𝐬 𝐭𝐨 𝐛𝐞 𝐳𝐞𝐫𝐨𝐞𝐝 Use first row & column to mark zeros Update the matrix accordingly Finally update first row & column if needed 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲: Time: O(m × n) Space: O(1) #Day78 #100DaysOfCode #DSA #Java #LeetCode #CodingJourney #SoftwareDeveloper #KeepLearning
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🚀 Day 5 of Solve With Me ⚡ Today, we’re solving Running Sum of 1D Array (Problem #1480) on LeetCode 💻✨ Here’s the thought process 👇 🔎 Approach 1️⃣ Create a variable sum and initialize it to 0. 2️⃣ Traverse the array from index 0 to the end. 3️⃣ At each index: Add the current element to sum. Replace the current element with the updated sum. 4️⃣ Return the modified array. #Day5 #SolveWithMe #Java #DSA #LeetCode #CodingJourney #ProblemSolving
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Day 35/100 – LeetCode Challenge 🚀 Problem: 3Sum Approach: Sorted the array Fixed one element and used two pointers for the remaining two Skipped duplicates to ensure unique triplets Used early stopping when the current number became positive Time Complexity: O(n²) Space Complexity: O(1) Key takeaway: Many 3-element sum problems reduce to sorting + two-pointer pattern. #LeetCode #100DaysOfCode #DSA #Java #TwoPointers #ProblemSolving #InterviewPrep
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🚀 Day 42 of #100DaysOfCode 🌱 Topic: Linked List / Two Pointers ✅ Problem Solved: LeetCode 82 – Remove Duplicates from Sorted List II 🛠 Approach: Used a dummy node to simplify handling edge cases where the head might be removed. When two consecutive nodes had the same value, stored that value. Skipped all nodes with that duplicate value using a loop. Linked the previous node to the next distinct node. Continued traversal until reaching the end. This ensures that only unique elements remain in the sorted list. #100DaysOfCode #Day42 #DSA #LinkedList #TwoPointers #LeetCode #Java #ProblemSolving #CodingJourney #Consistency
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🚀 Day 27 of My LeetCode Journey 📌 Problem: Maximum Product of Three Numbers (LeetCode 628) Today’s challenge was to find the maximum product of any three numbers in an integer array. The important observation is that the maximum product can come from: • The three largest numbers, or • The two smallest numbers (negative values) multiplied by the largest number. 🧠 Approach Used: Single Pass (Tracking Maximum & Minimum Values) Instead of sorting the array, we iterate through the array once and keep track of: The three largest numbers The two smallest numbers Finally, we compute the maximum between: 1️⃣ max1 × max2 × max3 2️⃣ min1 × min2 × max1 ⏱ Time Complexity: O(n) 📦 Space Complexity: O(1) This approach avoids sorting and efficiently finds the result in a single traversal of the array. #Day27 #LeetCode #DSA #Java #ProblemSolving #CodingJourney
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Day 14/100 – LeetCode Challenge Problem: Linked List Cycle II Today’s problem focused on detecting the node where a cycle begins in a linked list. Approach: Used Floyd’s Cycle Detection Algorithm (Slow & Fast pointers). Move slow by one step and fast by two steps. If they meet, a cycle exists. Reset slow to head. Move both slow and fast one step at a time. The node where they meet again is the starting node of the cycle. Complexity: Time: O(n) Space: O(1) Concepts Practiced: Linked List traversal Floyd’s cycle detection Pointer manipulation #100DaysOfCode #LeetCode #DSA #Java #LinkedList #ProblemSolving #CodingJourney
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