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## Introduction to Big O Notation and Time Complexity (Data Structures & Algorithms #7)

Big O notation and time complexity, explained.

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This was #7 of my data structures & algorithms series. You can find the entire series in a playlist here: https://goo.gl/wy3CWF

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#### 20 Responses to *Introduction to Big O Notation and Time Complexity (Data Structures & Algorithms #7)*

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INCOMPLETE

Don't waste 36 mins

The mathematical rigorous explanation of Big O Notation would be much appreciated, brother. Thank your for the videos. 😀

perfection for a beginner 👌

It's a shame for me that I have worked with various types of projects but I don't know basic things like this, thank you, you just made my day! 🙂

I just want some more video on this topic🙌💯

Great explaination YK👍

Excellent!!

thanks

I really request you for the BigO video. Please do…

This is by far the best explanation about such topic. Really thanks!

17:41 – how to find time complexity

Thanks man u made my day! I was stuck at this topic at my college and u made it easy for understanding. Please make more videos on data structures.

really nicely done with painstaking detail and examples – thank you

Thank you so much for explaining this. I have a quiz on Big O analysis tomorrow and I was completely lost before watching this video.

Hi, have you seen the Berlekamp–Massey algorithm? The time complexity is defined as O(n^2), where n is the input data. Can I asume the same space complexity?

you make it look really simple ! Thanks

brilliant explanation!

Subscribed and liked. Thank you

I watched this shit at 2X.

Sir please can you make a separate video on Formal mathematical definition of Big-O ?

It would be great. Thanks 🙂

Yes I need a formal video on big oh notation