Day 23 Mirror Distance Problem (Coding Insight) Worked on a simple yet interesting problem involving number manipulation. The task is to compute the mirror distance of an integer — defined as the absolute difference between the number and its digit-reversed form. 💡 Key Idea: Reverse the digits of the number Compute the absolute difference: |n - reverse(n)| 📌 Example: Input: 25 → Reverse: 52 → Output: 27 Input: 10 → Reverse: 1 → Output: 9 This problem highlights fundamentals like digit operations, edge cases (like trailing zeros), and clean logic implementation. #Coding #ProblemSolving #Algorithms #Programming #TechInterview
Mirror Distance Problem: Computing Absolute Digit Difference
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Solved the Reverse Integer problem without using any built-in functions 💻 Implemented a digit-by-digit reversal approach while carefully handling overflow using boundary checks. This ensures the solution is both safe and efficient. 🔹 Time Complexity: O(log n) 🔹 Space Complexity: O(1) Glad to see it pass all test cases with optimal performance 🚀 Sometimes, sticking to fundamentals is the best way to strengthen problem-solving skills. #Coding #DataStructures #Algorithms #ProblemSolving #CProgramming #LeetCode
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Vector indexes don't have to break the bank. This video breaks down DiskBBQ — a disk-first vector index that keeps large embedding collections on disk, minimizes RAM usage, and preserves query performance so your vector DB costs don't scale linearly with size. Short, practical explainer with architecture highlights and benchmarks. Read more: https://lnkd.in/efQhhz7F #programming #ai #database https://lnkd.in/eG-yVXbg
Vector Indexes Explained: Big vectors, small RAM - DiskBBQ #programming #ai #database
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Cycle Sort is not just another sorting algorithm, it is provably impossible to do fewer writes. Period. Cycle Sort follows where each element belongs, places it, picks up the displaced one, and follows that element. It continues chain after chain until every cycle closes. This is group theory disguised as a sorting algorithm. By minimizing writes to memory, Cycle Sort achieves the theoretical lower bound, making it optimal for scenarios where write operations are expensive, such as flash memory or EEPROM storage. Every element moves directly to its final position with no unnecessary swaps, proving that sometimes the most elegant solution is also the most mathematically efficient. #CycleSort #Programming #CodingLife #TechEducation #Algorithms #SortingAlgorithm #GroupTheory #OptimalAlgorithm #MemoryEfficient #ComputerScience #WriteOptimized #AlgorithmDesign #Coding #Developer #TechLearning #DataStructures #ProgrammingLife #CodeSmart #AlgorithmArt #ProvablyOptimal
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“Why does this traversal not need a stack?” 🧠 Morris Traversal (Inorder) A way to traverse a binary tree using O(1) space. No recursion. No stack. Just smart use of pointers. ⚡ How it works: → If left is NULL → visit, go right → If left exists → find inorder predecessor → Create a temporary link (predecessor → current) → Move left → On return → remove link, visit, go right 💡 Core idea: We don’t use extra space… we reuse NULL pointers as a return path. 🎯 Conclusion: • Same traversal • Zero extra space • Deeper understanding of trees Took me a few dry runs to really get it. Did this concept click for you instantly or after struggle? 👀 #DataStructures #Algorithms #BinaryTree #CodingInterview #SoftwareEngineering #LearnInPublic #ProblemSolving #DeveloperJourney #TechLearning #CodingJourney #DSA #CodeNewbie #Programming #ComputerScience #Coding
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Recover the Tree ?? by providing water! Approach (Recover BST) Do inorder traversal (BST should be sorted) Track previous node If order breaks (prev > current), it’s a violation First violation: first = prev middle = current Second violation (if exists): last = current Time Complexity: O(n) → you traverse all nodes once using inorder Space Complexity: O(h) → recursion stack (h = height of tree) Worst case (skewed tree): O(n) Best case (balanced tree): O(log n) #LeetCode #DSA #DataStructures #Algorithms #Coding #Programming #binarysearchtree
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#Day565 of #600DaysOfDSA Topics and Learnings: #Arrays, #LinearTraversal Problems Re-revised: 185. #Leetcode #2149 : Rearrange Array Elements by Sign Approach: Used Linear Traversal to solve this Complexity Analysis: TC: O(N) SC: O(N) #600DaysLeetCodeChallenge #600DaysLeetCode #DataStructures #Algorithms #ProblemSolving #DSA #LeetCode #TakeUForward #TUF+ #SoftwareDevelopment #ContinuousLearning #ProfessionalGrowth #Coding
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💡 DSA Day 216 ✅ ❓ Shortest Distance to Target String in a Circular Array 🔍 The Challenge: In a circular array of size n, distance isn’t always straight. You have to consider both directions: Direct distance: |i - start| Wrap-around distance: n - |i - start| ✨ The Insight: Take the minimum of both: min(direct, wrap-around) This keeps the solution clean and efficient: ⏱️ Time Complexity: O(n) 📦 Space Complexity: O(1) #Coding #DataStructures #CPP #LeetCode #ProblemSolving #ShortestDistancetoTargetStringinaCircularArray
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📌 Day 1/100 – #100DaysOfDSA Started my journey today with a classic problem from LeetCode: 🔍 Problem: Remove Duplicates from Sorted Array 🧠 What I learned: How to use the two-pointer technique efficiently Instead of extra space, we can modify the array in-place Helps reduce time complexity to O(n) and space to O(1) ✅ Solution Approach: Used two pointers — one to track unique elements and another to traverse the array 👣 Whenever a new unique element is found, it gets placed in the correct position. 💡 Key Insight: When the array is sorted, duplicates are always adjacent — making this problem much simpler! ⚡ Takeaway: Two-pointer technique is powerful for array problems — definitely a pattern to remember. Excited to stay consistent and improve every day 🚀 If you're also doing #100DaysOfDSA, let’s connect and grow together 🤝 #100DaysOfDSA #DataStructures #Algorithms #Programming #SoftwareEngineering #CodingChallenge #LeetCode #DeveloperJourney #TechJourney #ComputerScience #ProblemSolving #Coding
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📚 New article just published on SYUTHD! 🔖 Mastering Autonomous AI Agents with C# 14 and .NET 10: A Step-by-Step Guide 🏷️ Category: C# Programming 📖 Full article → https://lnkd.in/gRFXdXnm 👉 Follow our page for more tech tutorials: https://lnkd.in/gsJDptPM 💬 Telegram: https://t.me/nisethtechno 👍 Facebook: https://lnkd.in/gsKv3Dyn #CProgramming #Tech #Tutorial #Programming #TechBlog #2026
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🚀 Top 10 Maths & Array-Based DSA Problems You Must Solve Struggling with DSA? Start simple. Build strong fundamentals with Maths + Arrays — the backbone of problem solving. Here are 10 must-do problems 👇 1️⃣ Palindrome Number 2️⃣ Reverse Integer 3️⃣ Longest Common Prefix 4️⃣ Maximum Subarray (Kadane’s Algorithm) 5️⃣ Best Time to Buy & Sell Stock 6️⃣ Two Sum 7️⃣ Product of Array Except Self 8️⃣ Majority Element 9️⃣ Missing Number 🔟 Move Zeroes 💡 Why these? These problems cover patterns like: Prefix/Suffix logic Sliding window Greedy thinking Basic math insights 🎯 Challenge: Solve 1 problem daily for the next 10 days. No skipping. No excuses. 📈 Consistency > Motivation 🔥 I’ve structured solutions + roadmap on CPBrains to help you master these step by step. Visit Website: https://lnkd.in/gUHNd67y #DSA #Coding #LeetCode #Programming #SoftwareEngineering #Arrays #ProblemSolving #CodingJourney
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