🚀 Day 92 – #100DaysOfCode Qn. Combination Sum III Today I worked on the Combination Sum III problem using recursion and backtracking in Java. 🔹 Problem Summary: Find all possible combinations of k numbers that add up to n, using numbers 1–9 only once. 🔹 My Approach: Used recursion to explore all possible number combinations. Maintained a running sum and a temporary list. When the sum equals n and the list size equals k, the combination is added to the result. Used a HashSet to avoid duplicate combinations. 🔹 Key Learning: This problem helped me strengthen my understanding of: Backtracking Recursive decision trees Managing state during recursion (adding/removing elements) 📌 Next Goal: Optimize the solution further by avoiding the HashSet and pruning unnecessary recursive calls. #Day92 #LeetCode #DSA #Java #Recursion #Backtracking #CodingJourney
Combination Sum III Problem Solution in Java
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Day 63 of #100DaysOfLeetCode 💻✅ Solved #2085. Count Common Words With One Occurrence problem in Java. Approach: • Iterated through each word in the first array • Avoided duplicate checks by ensuring each word is processed only once • Counted occurrences of the current word in both arrays • If the word appears exactly once in both arrays, incremented the result • Returned the final count Performance: ✓ Runtime: 88 ms (Beats 7.45% submissions) ✓ Memory: 46.06 MB (Beats 93.07% submissions) Key Learning: ✓ Practiced handling duplicates and frequency counting ✓ Improved understanding of string comparison in arrays ✓ Learned importance of optimizing nested loop solutions Learning one problem every single day 🚀 #Java #LeetCode #DSA #Strings #Arrays #ProblemSolving #CodingJourney #100DaysOfCode
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Day 66 of #100DaysOfLeetCode 💻✅ Solved #3427. Sum of Variable Length Subarrays problem in Java. Approach: • Iterated through each index of the array • Determined the starting index using i - nums[i] • Ensured the start index does not go below 0 • Calculated sum of elements from start to current index i • Added each subarray sum to the total Performance: ✓ Runtime: 1 ms (Beats 99.90% submissions) ✓ Memory: 45.22 MB (Beats 56.30% submissions) Key Learning: ✓ Practiced handling variable-length subarrays ✓ Improved understanding of index-based range calculations ✓ Strengthened nested loop logic for array problems Learning one problem every single day 🚀 #Java #LeetCode #DSA #Arrays #PrefixSum #ProblemSolving #CodingJourney #100DaysOfCode
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Day 3/100 – LeetCode DSA Challenge Today I solved “Contains Duplicate” using Java. Problem: Given an integer array, determine if any value appears at least twice. Return true if any duplicate exists, otherwise false. Approach: I used a HashSet to track elements while iterating through the array. If an element is already present in the set, it means a duplicate is found. This allows detection in a single pass. Time Complexity: O(n) Space Complexity: O(n) What I Learned: * HashSet is useful for quick lookup and duplicate detection * Using extra space can significantly reduce time complexity * Strengthened my understanding of hashing in Java Continuing the journey with consistency. #100DaysOfCode #DSA #LeetCode #Java #CodingJourney
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Day 51 of #100DaysOfLeetCode 💻✅ Solved #217. Contains Duplicate problem in Java. Approach: • Sorted the array using Arrays.sort() • Traversed the array starting from index 1 • Compared each element with its previous element • If any two adjacent elements are equal, returned true • If no duplicates are found, returned false Performance: ✓ Runtime: 24 ms (Beats 26.49% submissions) ✓ Memory: 76.56 MB (Beats 96.73% submissions) Key Learning: ✓ Practiced sorting-based approach for detecting duplicates ✓ Learned how sorting helps bring duplicate elements together ✓ Strengthened understanding of array traversal techniques Learning one problem every single day 🚀 #Java #LeetCode #DSA #Arrays #ProblemSolving #CodingJourney #100DaysOfCode
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Day 75 of #100DaysOfLeetCode 💻✅ Solved #278. First Bad Version problem in Java. Approach: • Used Binary Search to minimize API calls • Narrowed search space using isBadVersion(mid) • Moved left/right pointers based on condition • Final position gives the first bad version Performance: ✓ Runtime: 16 ms (Beats 10.29% submissions) ✓ Memory: 42.16 MB (Beats 42.59% submissions) Key Learning: ✓ Practiced Binary Search with API-based problems ✓ Improved optimization by reducing unnecessary calls ✓ Strengthened problem-solving using monotonic conditions Learning one problem every single day 🚀 #Java #LeetCode #DSA #BinarySearch #ProblemSolving #CodingJourney #100DaysOfCode
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Day 72 of #100DaysOfLeetCode 💻✅ Solved #3866 “First Unique Even Element” problem in Java. Approach: • Traversed the array to find even numbers • For each even number, counted its occurrences in the array • If the count is exactly 1, returned that number • Continued until the first unique even number is found • Returned -1 if no such number exists Performance: ✓ Runtime: 1 ms (Beats 99.36% submissions) 🚀 ✓ Memory: 45.15 MB (Beats 98.39% submissions) Key Learning: ✓ Practiced combining conditions (even + uniqueness) ✓ Improved understanding of nested loop logic ✓ Learned how to filter and validate elements efficiently Learning one problem every single day 🚀 #Java #LeetCode #DSA #Arrays #ProblemSolving #CodingJourney #100DaysOfCode
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Day 68 of #100DaysOfLeetCode 💻✅ Solved #977. Squares of a Sorted Array problem in Java. Approach: • Traversed the array and squared each element • Used Arrays.sort() to sort the squared values • Returned the sorted array as the result Performance: ✓ Runtime: 10 ms (Beats 37.38% submissions) ✓ Memory: 47.98 MB (Beats 18.78% submissions) Key Learning: ✓ Practiced array transformation and sorting ✓ Learned how squaring affects order in sorted arrays ✓ Understood the importance of optimizing from O(n log n) to O(n) using two pointers Learning one problem every single day 🚀 #Java #LeetCode #DSA #Arrays #Sorting #ProblemSolving #CodingJourney #100DaysOfCode
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🚀 Day 23 of my Java DSA Journey Today I worked on Linked List Cycle — LeetCode #141 🔹 Topic: Linked List 🔹 Pattern: Fast & Slow Pointers (Floyd’s Algorithm) 💡 Key Idea: Instead of using extra space like a HashSet, we use two pointers: • Slow pointer moves 1 step • Fast pointer moves 2 steps If a cycle exists, the fast pointer will eventually meet the slow pointer inside the loop. 🧠 Key Learning: The real trick is understanding why they meet — Fast pointer gains one step every move, so in a loop it will always catch up. 📊 Complexity: • Time: O(n) • Space: O(1) Sharing a visual breakdown of the algorithm 👇 Back to building consistency. 🔗 GitHub Solution: https://lnkd.in/gQRv2Qp3 #Java #DSA #LinkedList #LeetCode #ProblemSolving #CodingJourney
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Day 62 of #100DaysOfLeetCode 💻✅ Solved #219. Contains Duplicate II problem in Java. Approach: • Used two nested loops to compare elements within range k • For each element, checked next k elements • If any duplicate is found within distance k, returned true • If no such pair exists, returned false Key Learning: ✓ Practiced checking duplicates within a given range ✓ Strengthened understanding of array traversal with conditions ✓ Learned the importance of optimizing nested loop solutions Learning one problem every single day 🚀 #Java #LeetCode #DSA #Arrays #ProblemSolving #CodingJourney #100DaysOfCode
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Day 70 of #100DaysOfLeetCode 💻✅ Solved #3136. Valid Word problem in Java. Approach: • Checked if the word length is at least 3 • Traversed each character in the string • Ensured all characters are either letters or digits • Checked for presence of at least one vowel • Checked for presence of at least one consonant • Returned true only if all conditions are satisfied Performance: ✓ Runtime: 1 ms (Beats 99.62% submissions) 🚀 ✓ Memory: 43.08 MB (Beats 93.16% submissions) Key Learning: ✓ Practiced string validation with multiple conditions ✓ Learned efficient use of built-in character functions ✓ Strengthened logic building for edge case handling Learning one problem every single day 🚀 #Java #LeetCode #DSA #Strings #ProblemSolving #CodingJourney #100DaysOfCode
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