Solved LeetCode 334 Increasing Triplet Subsequence in Java

Day 79 of #100DaysOfLeetCode 💻✅ Solved #3. Longest Substring Without Repeating Characters problem in Java. Approach: • Used Sliding Window with HashSet • Expanded window using right pointer • Shrunk window when duplicate found • Tracked maximum substring length Performance: ✓ Runtime: 6 ms (Beats 69.53% submissions) 🚀 ✓ Memory: 46.46 MB (Beats 41.45% submissions) Key Learning: ✓ Strengthened Sliding Window technique ✓ Learned efficient duplicate handling using HashSet ✓ Improved substring optimization skills Learning one problem every single day 🚀 #Java #LeetCode #DSA #SlidingWindow #Strings #ProblemSolving #CodingJourney #100DaysOfCode

Day 95 - LeetCode Journey Solved LeetCode 1700: Number of Students Unable to Eat Lunch in Java ✅ At first it looks like a simulation problem using queue + stack… but the real trick is to avoid simulation completely. Instead of rotating the queue again and again, I simply counted preferences and matched them with sandwiches. Smart counting beats brute force 💡 Key takeaways: • Avoid unnecessary simulation • Use counting instead of queue operations • Greedy thinking simplifies the problem • Writing clean and optimal logic ✅ All test cases passed ⚡ O(n) time and O(1) space Sometimes the best solution is not doing what the problem is asking literally 🔥 #LeetCode #DSA #Java #Greedy #ProblemSolving #CodingJourney #InterviewPrep #Consistency #100DaysOfCode

Day 93 - LeetCode Journey Solved LeetCode 9: Palindrome Number in Java ✅ At first glance, it feels like a string problem… but the real challenge is solving it without converting to string. Instead of reversing the whole number, I reversed only half of it and compared both parts. This avoids overflow and keeps it efficient. Smart approach > brute force 💡 Key takeaways: • Handling edge cases (negative numbers, trailing zeroes) • Reversing only half of the number • Avoiding extra space (no string conversion) • Writing optimized mathematical logic ✅ All test cases passed ⚡ O(log n) time and O(1) space Sometimes the best solutions are the simplest ones, just a different way of thinking 🔥 #LeetCode #DSA #Java #Math #ProblemSolving #CodingJourney #InterviewPrep #Consistency #100DaysOfCode

Day 85 of #100DaysOfLeetCode 💻✅ Solved #76. Minimum Window Substring problem in Java. Approach: * Used Sliding Window with character frequency array * Tracked required characters to match target string * Expanded window and reduced requirement count * Shrunk window to find minimum valid substring Performance: ✓ Runtime: 2 ms (Beats 99.94% submissions) 🚀 ✓ Memory: 45.51 MB (Beats 80.16% submissions) Key Learning: ✓ Mastered advanced Sliding Window technique ✓ Learned optimal substring minimization strategy ✓ Improved handling of variable window constraints Learning one problem every single day 🚀 #Java #LeetCode #DSA #SlidingWindow #Strings #HashMap #ProblemSolving #CodingJourney #100DaysOfCode

Day 21 of #100DaysOfCode Today, I worked on the classic string problem: implementing the strStr() function in Java. The goal: Find the first occurrence of a substring (needle) inside another string (haystack). Approach I used: - Applied a sliding window technique - Compared substrings using "substring(i, j)" - Returned the starting index when a match is found Key learning: Understanding how index-based string operations work and how "substring()" helps in breaking down problems step-by-step. Also realized the importance of optimizing solutions to avoid unnecessary string creation. Consistency is slowly turning concepts into confidence! Looking forward to improving this further with more optimized approaches #Java #Coding #DSA #LeetCode #ProblemSolving #LearningJourney #Consistency

Day 92 of #100DaysOfLeetCode 💻✅ Solved #739. Daily Temperatures problem in Java. Approach: • Used Monotonic Stack to track indices • Compared current temperature with stack top • Updated result when a warmer day was found • Stored indices for future comparisons Performance: ✓ Runtime: 60 ms (Beats 79.01% submissions) 🚀 ✓ Memory: 107.89 MB (Beats 17.53% submissions) Key Learning: ✓ Learned Monotonic Stack technique ✓ Improved handling of next greater element problems ✓ Strengthened stack-based problem solving Learning one problem every single day 🚀 #Java #LeetCode #DSA #Stack #Arrays #ProblemSolving #CodingJourney #100DaysOfCode

Day 84 of #100DaysOfLeetCode 💻✅ Solved #567. Permutation in String problem in Java. Approach: * Used Sliding Window with frequency array * Decreased count for incoming characters * Adjusted window when count became invalid * Checked window size equal to s1 length Performance: ✓ Runtime: 6 ms (Beats 87.55% submissions) 🚀 ✓ Memory: 43.26 MB (Beats 99.80% submissions) Key Learning: ✓ Strengthened Sliding Window with frequency tracking ✓ Learned efficient permutation checking ✓ Improved handling of dynamic window adjustment Learning one problem every single day 🚀 #Java #LeetCode #DSA #SlidingWindow #Strings #Arrays #ProblemSolving #CodingJourney #100DaysOfCode

Day 86 of #100DaysOfLeetCode 💻✅ Solved #238. Product of Array Except Self problem in Java. Approach: • Calculated prefix (left) products • Traversed from right to maintain suffix product • Combined both without using extra space • Avoided division for optimal solution Performance: ✓ Runtime: 2 ms (Beats 95.11% submissions) 🚀 ✓ Memory: 72.10 MB (Beats 31.81% submissions) Key Learning: ✓ Learned prefix and suffix product technique ✓ Improved space optimization skills ✓ Understood how to avoid division in array problems Learning one problem every single day 🚀 #Java #LeetCode #DSA #Arrays #PrefixSum #ProblemSolving #CodingJourney #100DaysOfCode

Day 32 of #50DaysLeetCode Challenge 💻🔥 Today I solved the “Rotate Image” problem using Java. 🔹 Problem: Given an n × n matrix, rotate the image 90° clockwise in-place (no extra matrix allowed). 🔹 Where people mess up: Trying to simulate rotation directly with extra space. That defeats the whole point of the problem. 🔹 Optimal Approach: 1. Transpose the matrix (swap rows & columns) 2. Reverse each row That’s it. Two clean steps. No overthinking. 🔹 Key Insight: Rotation isn’t magic — it’s just a combination of simple transformations. 🔹 Time Complexity: O(n²) 🔹 Space Complexity: O(1) 📌 What I learned: Most matrix problems look complicated until you break them into small predictable operations. If your approach feels messy, you’re probably doing it wrong. Simple > Clever. #Day32#LeetCode #Java #Matrix #DSA #CodingChallenge #ProblemSolving

Day 90 of #100DaysOfLeetCode 💻✅ Solved #42. Trapping Rain Water problem in Java. Approach: • Used Two Pointer technique • Maintained leftMax and rightMax boundaries • Calculated trapped water based on smaller side • Accumulated water while traversing Performance: ✓ Runtime: 0 ms (Beats 100.00% submissions) 🚀 ✓ Memory: 47.70 MB (Beats 72.36% submissions) Key Learning: ✓ Mastered Two Pointer approach for complex problems ✓ Learned optimal water trapping strategy ✓ Improved understanding of boundary-based calculations Learning one problem every single day 🚀 #Java #LeetCode #DSA #TwoPointers #Arrays #ProblemSolving #CodingJourney #100DaysOfCode