Search results for #spacecomplexity
Day 21 of #100DaysOfDSA 🚀 Today I learned about Space Complexity 🧠💾 📌 Space complexity measures the total memory used by an algorithm — including input storage, auxiliary data structures, and recursion stack. 📊 Common: O(1), O(log n), O(n) #DSA #Coding #SpaceComplexity
🧠 Day-18 of #100DaysOfCode Exploring the brain of efficient code — Time & Space Complexity! Big O, big brain 🧮⚙️ #TimeComplexity #SpaceComplexity #DevJourney #CodeNewbie #DSA #TechTwitter #CodingLife #BuildInPublic
"Day 9: DSA Learning - Time & Space Complexity ⏱️💻 Learned to analyze algorithms' efficiency! 📊 Mastering Big O notation & optimizing code for better performance! 🚀 #DSA #TimeComplexity #SpaceComplexity" thnkuuu @akshaymarch7
For a question where both time and space are equally important, which scenario's overall complexity is better? A : T.C - O(2N), S.C - O(2N) B : T.C - O(3N), S.C - O(N) #DSA #ComputerScience #TimeComplexity #SpaceComplexity
🚀 Day 89 / 180 | Backend Journey to Land an Internship 📘 DSA Day 14 🕒 Study Time: 5 hours 40 minutes 📍 Focus: Time & Space Complexity + LeetCode Practice 📍 GitHub Repo: github.com/M0rs-Ruki/DSA #180DaysOfCode #DSA #LeetCode #BackendDevelopment #TimeComplexity #SpaceComplexity
Day 02/100: DSA revision ⏱️ Time & Space Complexity - Explored Big O notation: O(1), O(n), O(n^2) for time complexity - Analyzed space complexity: O(1) & O(n) #100DaysOfCode #DSA #TimeComplexity #SpaceComplexity
[Day 2/101 ] Today in DSA Diaries: Explored the basics of time and space complexity 🚀. Understanding Big O notation is crucial for efficient coding. Feeling confident about this foundation, but there's always more to learn! 💪 #DSA #TimeComplexity #SpaceComplexity
📌 Focused on improving binary search techniques for optimized solutions! That’s all for today! Happy Coding! ✌️ #100DaysOfCode #CodingJourney #DSA #LogicBuilding #Arrays #LoveBabbarDSASheet #TimeComplexity #SpaceComplexity #ProgrammingPractice #CodingChallenge #ProblemSolving
What I Accomplished Today: ✅ DSA Practice: Solved 2 array-based questions from the Love Babbar DSA sheet 🔥 1. Search in rotated sorted array. (leetcode - 33) 2. Find pivot index in a rotational array using binary search O(logn) (leetcode - 724) #TimeComplexity #SpaceComplexity
Intro to Big-O & Space How much memory does your code use? 🤔 Big-O notation helps us understand space complexity! Let's explore! 🧠 #BigO #SpaceComplexity #Coding
🚀Day 21 Part 2: Deep Dive into Time & Space Complexity 📌Big-O Notation–Upper bound of runtime. 📌Big-Theta Notation–Tight bound of runtime. 📌Space vs Auxiliary Space–Memory analysis. 📌Complexity Analysis–Sorting & Recursive Program #DSA #TimeComplexity #SpaceComplexity
Time and Space Complexity of Bubble and Insertion sort algorithms explained in this video. #TimeComplexity #SpaceComplexity #BubbleSort #InsertionSort #SortingAlgorithms #AlgorithmAnalysis #BigONotation #ProgrammingTutorial #DataStructures #CodingExplained
As for today not done more but something is always better than noting!!😊 ✔ 1. Missing Number(Easy) #TimeComplexity: O(n) #SpaceComplexity: O(1)
#Day17 of #100DaysOfDSA Topics and Learnings: #MooreVotingAlgorithm, #TimeComplexity, #SpaceComplexity, #Optimisation, #EdgeCases Problems Solved: 35. #LeetCode #229 : Majority Elements II Used Moore's Voting Algorithm to solve in O(N) Time and O(1) space
#Day11 of #100DaysOfDSA Topics and Learnings: #Hashing, #SpaceComplexity, #Optimisation, #MooreVotingAlgorithm Problems Solved: 21. #LeetCode #169 : Majority Element Firstly, solved it using #Hashing with O(n) #SpaceComplexity. Then, optimised it using Moore's Voting Algorithm
Today, I explored Time and Space Complexity in Recursion! Understanding how recursion impacts runtime and memory usage is essential for optimizing code. #100DaysOfCode #Recursion #TimeComplexity #SpaceComplexity #Coding #LearningJourney
Check out bytebytego @bytebytego more system design techniques. #BigONotation #DataStructures #Algorithms #TimeComplexity #SpaceComplexity #CodingEfficiency #AlgorithmDesign #TechInterviewPrep #ComputationalComplexity #LeetCode
Understanding #TimeComplexity and #SpaceComplexity is crucial for writing efficient algorithms. Time complexity measures how the runtime grows with input size, while space complexity measures memory usage. Master these to optimize your code! #Coding #Tech Day 11 #100DaysOfCode
