Top Tweets for #GreedyAlgorithm
Greedy Day 3 🚀Solved the Non-overlapping Intervals problem today.
Every problem is making greedy strategies feel more intuitive and sharpening my problem-solving skills. 💡#DSA #GreedyAlgorithm #LeetCode #Cpp #CodingJourney #100DaysOfCode @CoderArmy

Learning Greedy Algorithms one problem at a time 🚀
Solved the Job Sequencing Problem today and understood how making the best choice at each step can lead to an optimal solution.
Greedy feels simple, but the intuition behind it is powerful. 💡
#DSA #GreedyAlgorithm @CoderArmy

✅Lecture92 Of DSA in C++ with @rohit_negi9
#Strike @CoderArmy
Part-2 of Greedy Algorithm
Today's I learn about the new problems and solved some problems
This Algo. Improve my thought .
solved :
🚀Job Sequencing Problem
🚀Fractional Knapsack
Consistency 💪
#GreedyAlgorithm

#Lecture92 of STRIKE DSA by @rohit_negi9
Today Topic Covered:-
greedy Algorithm.
#strikecoderarmy #dsaproblems
#greedyalgorithm

Day 16 #SDESheetChallenge 🚀
Solved :
1. Subsets 2
2. Sum of subset
3. Minimum Coin
4. Assign Cookies
A solid day of consistency and progress. 📈
@striver_79 @takeUforward_
#DSA #LeetCode #GreedyAlgorithm #100DaysOfCode #CodingJourney #TakeUForward

Day 15/45 ✅ of #SDESheetChallenge
Finished today's set from Striver's SDE Sheet:
✅ N Meetings in One Room
✅ Minimum Number of Platforms Required for a Railway
✅ Job Sequencing Problem
✅ Fractional Knapsack
@takeUforward_
#LearnInPublic #TakeUForward #DSA #GreedyAlgorithm

Day 15 of #SDESheetChallenge ✅
Greedy mode on 🟢
🔹 N Meetings in One Room
🔹 Minimum Platforms
🔹 Job Sequencing Problem
#DSA #LeetCode #100DaysOfCode #SDESheet #GreedyAlgorithm

🔹 DBMS — indexing, normalization, and query optimization 🔹 MAD + App Dev End Sem preparation continues
One step every day builds the bigger picture. 📈
#Day117 #365DaysChallenge #DAA #DynamicProgramming #GreedyAlgorithm #DBMS #EngineeringStudent #Consistency
Day 32 – Huffman Coding 🤔
🔹 What is Huffman Coding?
A greedy algorithm used for lossless data compression.
It assigns shorter binary codes to frequent characters and longer codes to rare ones.
#Day32 #GreedyAlgorithm #100DaysChallenge #CodingJourney

Day 31 – Task Scheduler
Completed the Task Scheduler problem as part of the 100 Days Challenge with Rohit Negi and Aditya Tandon.
✅ Key takeaway: Proper scheduling reduces idle slots and improves performance.
#Day31 #GreedyAlgorithm #100DaysChallenge #CodingJourney

Day - 29 completed! Let’s quickly revise the Fractional Knapsack .
1. Sort in Descending Order
👉 Highest ratio first:
Item 1 (6)
Item 2 (5)
Item 3 (4)
Time Complexity: O(n log n)
#Day29 #GreedyAlgorithm #100DaysChallenge #CodingJourney

Day - 28
Single Threaded CPU (Task Scheduling Problem)
⏱️ Time Complexity:
O(n log n) (sorting + heap operations)
Consistency > Talent 🔥
See you on Day - 29 💪
#Day28 #GreedyAlgorithm #100DaysChallenge #CodingJourney

Day 27 – Job Sequencing Problem,
[Job 4, Job 3, -, Job 1]
💰 Total Profit
40 + 30 + 20 = 90 ✅
Time Complexity:
Sorting: O(n log n)
Scheduling: O(n²)
Companies like TCS, Infosys, Amazon (basic rounds)
#Day27 #GreedyAlgorithm #100DaysChallenge #CodingJourney
![AzadKumar161440's tweet photo. Day 27 – Job Sequencing Problem,
[Job 4, Job 3, -, Job 1]
💰 Total Profit
40 + 30 + 20 = 90 ✅
Time Complexity:
Sorting: O(n log n)
Scheduling: O(n²)
Companies like TCS, Infosys, Amazon (basic rounds)
#Day27 #GreedyAlgorithm #100DaysChallenge #CodingJourney https://t.co/8ifgxwofAz](https://pbs.twimg.com/media/HE1lgMabcAA5MBU.jpg)
Day 26 — N Meetings in One Room (Greedy Algorithm)
📌 Problem Idea
You are given:
Start times → [1, 3, 0, 5, 8, 5]
End times → [2, 4, 6, 7, 9, 9]
Time Complexity: O(n log n) (due to sorting)
#Day25 #GreedyAlgorithm #100DaysChallenge #CodingJourney
![AzadKumar161440's tweet photo. Day 26 — N Meetings in One Room (Greedy Algorithm)
📌 Problem Idea
You are given:
Start times → [1, 3, 0, 5, 8, 5]
End times → [2, 4, 6, 7, 9, 9]
Time Complexity: O(n log n) (due to sorting)
#Day25 #GreedyAlgorithm #100DaysChallenge #CodingJourney https://t.co/ewaGjbEaIB](https://pbs.twimg.com/media/HEv90kkakAERUhC.jpg)
Day – 25 🚀
Assign Mice to Holes ⛳ (Greedy Algorithm)
with Rohit Negi Coder Army and Aditya Tandon
Challenge: 100 Days of Coding 💻
→ Understanding optimal matching
→ Minimizing maximum distance
Consistency > Talent 🔥
#Day25 #GreedyAlgorithm #100DaysChallenge #CodingJourney

Day 3/60 of #GFGPOTD
The GeeksforGeeks Problem of the Day for today has been resolved 💻✨ 🧩 The Challenge:
This day's GeeksforGeeks challenge is to .
O(n log n)
#GeeksforGeeks #GFG #POTD #DSA #Coding #InterviewPrep #GreedyAlgorithm #LearningInPublic
@NPCI_NPCI @geeksforgeeks

✨ Birthday Series – Day 6 ✨
Today’s problems:
1️⃣ Split Array –> Largest Sum
2️⃣ Intersection Point of Two Linkedin Lists.
#BirthdaySeries #DSA #LeetCode #GeeksForGeeks #BinarySearch #BinarySearchOnAnswer #GreedyAlgorithm #LinkedList #TwoPointerTechnique #OptimizationProblems

⭐Birthday Series – Day 5 ⭐
Today’s problems:
1️⃣ Find Peak Element in a 2D Matrix
2️⃣ Aggressive Cows
#BirthdaySeries #DSA #LeetCode #GeeksForGeeks #BinarySearch #BinarySearchOnAnswer #GreedyAlgorithm #Matrices #OptimizationProblems #Algorithms #DataStructures #CodingJourney

Day 130 of DSA
Solved Non-Overlapping using a greedy approach
🔹 Sort intervals by end time
🔹 If an interval overlaps, remove the one ending later
🔹 This keeps maximum space for future intervals
Simple idea, powerful logic.
#DSA #LeetCode #GreedyAlgorithm #JavaScript

This way of finding an approximation to the shortest route in the Traveling Salesman Problem, by just going to the nearest unvisited city in each step, is called a greedy algorithm.
#Traveling_Salesman_Problem #TSP #GSV #Tech #GreedyAlgorithm #AIML #ravixpanchal #TSP
Last Seen Hashtags on Sotwe
artful
Seen from Korea
นัดเย็ดเชียงใหม่
Seen from Thailand
فرك
Seen from Saudi Arabia
كلبه_خاضعة
Seen from Saudi Arabia
thundr
Seen from Switzerland
mom big ass
打手心
GayScene
Seen from Saudi Arabia
ipcam()()()()()**filter:native_video()**filter:native_video()**filter:native_video()**filter:native_video
Seen from Venezuela
minichat
Seen from Germany
Most Popular Users

Elon Musk 
@elonmusk
241.5M followers

Barack Obama 
@barackobama
118.8M followers

Cristiano Ronaldo 
@cristiano
114.5M followers

Donald J. Trump 
@realdonaldtrump
111.8M followers

Narendra Modi 
@narendramodi
107.1M followers

Rihanna 
@rihanna
98.7M followers

NASA 
@nasa
92.3M followers

Justin Bieber 
@justinbieber
91.8M followers

KATY PERRY 
@katyperry
90M followers

Taylor Swift 
@taylorswift13
84M followers

Lady Gaga 
@ladygaga
75.5M followers

Virat Kohli 
@imvkohli
73.5M followers

Kim Kardashian 
@kimkardashian
70.9M followers

YouTube 
@youtube
68.8M followers

Neymar Jr 
@neymarjr
66.5M followers

Bill Gates 
@billgates
65.3M followers

Selena Gomez 
@selenagomez
63.1M followers

The Ellen Show
@theellenshow
62.2M followers

CNN 
@cnn
61.7M followers

X 
@x
60.7M followers



























![AzadKumar161440's tweet photo. Day 27 – Job Sequencing Problem,
[Job 4, Job 3, -, Job 1]
💰 Total Profit
40 + 30 + 20 = 90 ✅
Time Complexity:
Sorting: O(n log n)
Scheduling: O(n²)
Companies like TCS, Infosys, Amazon (basic rounds)
#Day27 #GreedyAlgorithm #100DaysChallenge #CodingJourney https://t.co/8ifgxwofAz](https://pbs.twimg.com/media/HE1lf7hakAA1LtZ.jpg)
![AzadKumar161440's tweet photo. Day 27 – Job Sequencing Problem,
[Job 4, Job 3, -, Job 1]
💰 Total Profit
40 + 30 + 20 = 90 ✅
Time Complexity:
Sorting: O(n log n)
Scheduling: O(n²)
Companies like TCS, Infosys, Amazon (basic rounds)
#Day27 #GreedyAlgorithm #100DaysChallenge #CodingJourney https://t.co/8ifgxwofAz](https://pbs.twimg.com/media/HE1lf69bMAAkgky.jpg)
![AzadKumar161440's tweet photo. Day 27 – Job Sequencing Problem,
[Job 4, Job 3, -, Job 1]
💰 Total Profit
40 + 30 + 20 = 90 ✅
Time Complexity:
Sorting: O(n log n)
Scheduling: O(n²)
Companies like TCS, Infosys, Amazon (basic rounds)
#Day27 #GreedyAlgorithm #100DaysChallenge #CodingJourney https://t.co/8ifgxwofAz](https://pbs.twimg.com/media/HE1lfuwawAAVCCp.jpg)
![AzadKumar161440's tweet photo. Day 26 — N Meetings in One Room (Greedy Algorithm)
📌 Problem Idea
You are given:
Start times → [1, 3, 0, 5, 8, 5]
End times → [2, 4, 6, 7, 9, 9]
Time Complexity: O(n log n) (due to sorting)
#Day25 #GreedyAlgorithm #100DaysChallenge #CodingJourney https://t.co/ewaGjbEaIB](https://pbs.twimg.com/media/HEv90GtaMAAMUtt.jpg)
![AzadKumar161440's tweet photo. Day 26 — N Meetings in One Room (Greedy Algorithm)
📌 Problem Idea
You are given:
Start times → [1, 3, 0, 5, 8, 5]
End times → [2, 4, 6, 7, 9, 9]
Time Complexity: O(n log n) (due to sorting)
#Day25 #GreedyAlgorithm #100DaysChallenge #CodingJourney https://t.co/ewaGjbEaIB](https://pbs.twimg.com/media/HEv9z8FbkAAEPgs.jpg)
![AzadKumar161440's tweet photo. Day 26 — N Meetings in One Room (Greedy Algorithm)
📌 Problem Idea
You are given:
Start times → [1, 3, 0, 5, 8, 5]
End times → [2, 4, 6, 7, 9, 9]
Time Complexity: O(n log n) (due to sorting)
#Day25 #GreedyAlgorithm #100DaysChallenge #CodingJourney https://t.co/ewaGjbEaIB](https://pbs.twimg.com/media/HEv9z7WbcAEndH_.jpg)










