Solved LeetCode 739 Daily Temperatures with Monotonic Stack

Binary tree right side view Approach: - Keep a level variable - If level == result.size(), add current node (first node of that level) - Traverse right first, then left Time: O(n) Space: O(h) (worst: O(n), best: O(log n)) #Algorithms #DSA #LeetCode #coding #Programming

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

LCA - Lowest Common Ancestor of binary tree Approach: If current node is null, return null If current node is p or q, return current node Recursively search left and right If both sides return non-null → current node is LCA Otherwise → return the non-null side TC = O(n) SC = O(h) - depends on tree height (recursion stack) O(logn) - balanced tree O(n) - skewed tree #dsa #leetcode #consistency #coding #programming

Flatten Binary tree to linked list Approach: Do kind of post-order traversal ( right -> left -> root ) maintain a previous node go right (recursively) go left (recursively) make root->right point to previous and root->left point to null and update previous to root TC: O(N) SC: O(N) - recursive stack #DSA #programming #coding #buildinpublic #Technology #ProblemSolving #LeetCode #LearnInPublic  #Consistency

Binary search tree iterator Approach: BSTIterator - push all node's left to stack next - return the top element of stack and call pushAll function again to push all node's left if node has right hasnext - return whether the stack is non-empty TC: O(1) SC: O(h) - height of bst #dsa #leetcode #binarytree #programming #coding

55 of #100DaysOfCode: Today I dived into LeetCode 316 (Remove Duplicate Letters). This problem is a fantastic lesson in balancing multiple constraints: maintaining unique characters while ensuring the smallest lexicographical order. The Key Insight: Using a Monotonic Stack approach. The goal isn't just to remove duplicates, but to greedily decide whether to keep a character or pop it based on whether it appears again later in the string. Stack Logic: Pop elements only if they are larger than the current character AND guaranteed to appear later. #cpp #leetcode #programming #algorithms #datastructures #codingcommunity #100daysofcode

In this action class handle method, the process begins by calling a daily trending function to retrieve the top 5 repositories based on a specific date. Following this, repository details are fetched. The initial call to the daily trending function provides the necessary data to then query the trending repositories for comprehensive row information. This entire dataset is then processed and sent forward. Full video: https://lnkd.in/d6kAGMqw #SoftwareDevelopment #APIDesign #CodeQuality #Programming #Tech

What are loops and when do I use them? Loops are used in programming to repeat a block of code multiple times without writing it again. They are helpful when you need to perform the same task repeatedly, such as going through a list of items or running a calculation several times. Instead of writing the same code many times, a loop handles it automatically until a condition is met. Common types include for loops and while loops. You use loops when working with arrays, counting, or processing data step by step. They make your code shorter, more efficient, and easier to manage. #webdeveloper #tech #coding #programming

Explain about a Depth-First Search (DFS)? Depth-First Search (DFS) is a graph traversal algorithm that explores as deep as possible along each branch before backtracking, utilizing a stack (or recursion) to keep track of nodes. It starts at a designated root node, marks nodes as visited to avoid cycles, and recursively visits unvisited neighbors. #DepthFirstSearch #DFS #DataStructures #Algorithms #GraphTheory #TreeTraversal #Coding #Programming #ComputerScience #Developer #SoftwareEngineering #LearnToCode #CodingInterview #ProblemSolving #AlgorithmDesign #DSA

Invert Binary tree Approach: check if node is null or not if null return null swap left node and right ( not value complete node ) go to left (recursively) go to right (recursively) return node TC: O(N) SC:O(N)- recursive stack #DSA #programming #coding #problemSolving