How Algorithms Scale as Data Grows | Time Complexity in Tamil #timecomplexity #bigo #theta #omega

Most people think time complexity means “how many seconds a program takes.”

But actually, time complexity is about how an algorithm SCALES when the input size increases.

In this video, we’ll understand:
• What is Time Complexity?
• What is Big O, Omega, Theta notation?
• O(1), O(n), O(2ⁿ) explained simply
• Why some algorithms become extremely slow
• Real-world intuition behind algorithm efficiency

If you are learning:

* DSA
* System Design
* Programming
* Software Engineering
* Interview prep

this concept is one of the most important fundamentals in Computer Science.

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பல பேர் time complexity-na
“ஒரு program எவ்வளவு seconds எடுக்குது?” ன்னு நினைப்பாங்க.

ஆனா actually,
input size பெருசா ஆகும்போது
algorithm எப்படி scale ஆகுது
அதைத்தான் time complexity சொல்றது.

இந்த video-ல நாம பார்க்கப் போறது:
• Time Complexity-na என்ன?
• Big O, Omega, Theta notation என்ன?
• O(1), O(n), O(2ⁿ) simple explanation
• ஏன் சில algorithms ரொம்ப slow ஆகுது?
• Algorithm efficiency-க்கு real-world intuition

நீங்க:
• DSA
• System Design
• Programming
• Software Engineering
• Interview preparation

learn பண்ணிட்டு இருந்தீங்கனா,
இந்த concept Computer Science-ல ரொம்ப முக்கியமான foundation 🚀
#TimeComplexity #BigONotation #OmegaNotation #ThetaNotation #DSA #Programming #ComputerScience #Algorithms #SoftwareEngineering #Coding #TamilTech #AazhAayvu

Видео How Algorithms Scale as Data Grows | Time Complexity in Tamil #timecomplexity #bigo #theta #omega канала Aazh Aayvu