"Optimizing Subarray Increments with C++"

Day 88 of #100DaysOfCode Today’s problem: Final Value of Variable After Performing Operations (LeetCode 2011) 🧠 Concept: Simple logic using loops and conditionals in C++ 💡 Learned how to efficiently handle string operations and use ternary operators for concise logic. Each small problem strengthens logical thinking — one step closer to mastering programming fundamentals! 🚀 #100DaysOfCode #LeetCode #Cplusplus #ProblemSolving #CodingChallenge

🧠 LeetCode #1526 — Minimum Number of Increments on Subarrays to Form a Target Array Difficulty: Hard 🔴 Language: C++ 💻 💡 Approach: Instead of simulating subarray increments, observe that each time the array value surpasses the previous one, a corresponding operation is required. To calculate the total operations needed, sum all positive variances between adjacent elements along with the initial element. ✅ Time Complexity: O(n) ✅ Space Complexity: O(1) 📈 Result: Accepted (0 ms runtime) 💬 Simple logic, efficient solution! 🔥 Keep solving, keep growing 💪 #LeetCode #CPlusPlus #DSA #Coding #ProblemSolving #HardProblems #100DaysOfCode

Typedef vs Macro, Same language, different powers! One simplifies your #code, the other automates it. But which one truly wins in C programming? 🤔 👉 Dive in to see the real difference between these two coding heroes! #cprogramming #embeddedsystems #codingtips #learnwithemertxe

🚀 Day 76 of #100DaysOfCode — Reverse Words in a String (C++) Today I worked on a classic string manipulation problem — Reverse Words in a String — using only the reverse() function in C++. 🧩 Problem Statement: Given a string where words are separated by dots ('.'), the task is to reverse the order of the words while keeping the characters inside each word in the correct order. 📘 Example: Input: i.like.this.program.very.much Output: much.very.program.this.like.i 💡 Approach: First, reverse the entire string. Then, reverse each individual word between dots. Skip any empty segments to handle consecutive or trailing dots properly. Implemented the entire logic using only the reverse() function — no extra vector or split logic needed! 🧠 Concepts Used: String manipulation, two-pointer technique, in-place reversal, and C++ STL. #Day76 #100DaysOfCode #CPlusPlus #CodingChallenge #LeetCode #GeeksForGeeks #StringManipulation #CodeNewbie #ProblemSolving #SoftwareEngineering #DSA #DeveloperJourney #CodingCommunity

🎯 LeetCode Day 46 – Unique Paths (Dynamic Programming) 🚀 Today’s challenge was about finding the number of unique paths in an m x n grid — you can only move right or down. 💡 I optimized it using a 1D Dynamic Programming approach, reducing space complexity from O(m*n) to O(n). The idea: Each cell = sum of paths from top and left. By updating rows iteratively, we achieve efficiency and elegance. ⚡ Result: ✅ All 64 test cases passed ⏱ Runtime: 0 ms (beats 100%) 💾 Memory: 40.25 MB (beats 89.65%) 📈 Learning: Sometimes, optimizing space is as impactful as optimizing time! #LeetCode #Day46 #DynamicProgramming #Java #CodingJourney #ProblemSolving #50DaysOfCode

🎯 LeetCode Day 46 – Unique Paths (Dynamic Programming) 🚀 Today’s challenge was about finding the number of unique paths in an m x n grid — you can only move right or down. 💡 I optimized it using a 1D Dynamic Programming approach, reducing space complexity from O(m*n) to O(n). The idea: Each cell = sum of paths from top and left. By updating rows iteratively, we achieve efficiency and elegance. ⚡ Result: ✅ All 64 test cases passed ⏱ Runtime: 0 ms (beats 100%) 💾 Memory: 40.25 MB (beats 89.65%) 📈 Learning: Sometimes, optimizing space is as impactful as optimizing time! #LeetCode #Day46 #DynamicProgramming #Java #CodingJourney #ProblemSolving #50DaysOfCode

C++ Tip: A clean and efficient way to calculate maximum stock profit. I have seen many implementations use extra loops or complex logic for this problem. But here’s a simpler and more elegant approach track the lowest price so far and calculate profit in a single pass (O(n)). No extra space, no unnecessary conditions just clean, efficient C++ that gets the job done. #Cpp #Algorithms #CleanCode #ProblemSolving #DSA #CodingTips #Programming #DeveloperCommunity #CodeNewbie #Tech #SoftwareEngineering #CodingTips #LearnToCode #SoftwareDeveloper #TechCareer #CodeLife #100DaysOfCode #BuildInPublic

🚀 Day 63 of #100DaysOfCode Today I solved a C++ problem: 👉 Find K Pairs with Smallest Sums 🧩 Problem Summary: Given two sorted arrays arr1 and arr2, and an integer k, the task is to find k pairs (a, b) where a belongs to arr1 and b belongs to arr2, such that their sum is among the smallest possible. 🧠 Approach: I used a min-heap (priority_queue with greater comparator) to always extract the smallest pair sum efficiently. Start by pushing the smallest possible pairs from arr1 and the first element of arr2. Each time we pop the smallest pair, we add the next possible pair from the same row. Continue until we find k pairs. ⚙️ Key Concepts: Priority Queue (Min-Heap) Pair Sum Optimization Efficient use of STL 💡 Complexity: Time: O(k log k) Space: O(k) 👨💻 Language: C++ (STL-based) #100DaysOfCode #Day63 #CPlusPlus #STL #CodingChallenge #DSA #ProblemSolving #LeetCode #CodeNewbie #Programmer #LearnCoding #CompetitiveProgramming #cpp #DataStructures #Algorithms

💻 Day 22/100 ✅ Today’s problem was “Final Value of Variable After Performing Operations.” A simple logic-based question that turned into a great debugging lesson! 🔍 Initially, my code kept returning the wrong output — I later realized it was because of a return statement placed inside the loop, which made the function stop after the first operation. Once I understood that, fixing it became easy. ✨ Key takeaway: Even small placement mistakes can change the entire flow of your program. Coding isn’t just about writing logic — it’s about understanding execution flow step by step. Every bug is a teacher in disguise! 💪 #Day22 #100DaysOfCode #LeetCode #Java #ProblemSolving #Debugging #LearningByDoing