The best explanation I found on youtube. Thanks a lot, finally understand it:)
@RyanAndersonTechnical Жыл бұрын
Great summary and refresh - Thanks for posting. 🙏
@rampravesh40654 ай бұрын
the best explanation of computational complexity. Thank you very much.
@femloh2 жыл бұрын
Short and Excellent. I finally get this now. Very straightforward. Thank You.
@salimdellali18142 жыл бұрын
very helpful, you helped me refresh my knowledge about comlexity, clearly explained, to the point, short and concise. You have my like
@Swangorapofficial Жыл бұрын
Thanks for the video!
@Vartierer3 жыл бұрын
Really well explained, thank you
@felipeazevedo22792 жыл бұрын
Very helpful content! Easy to understand, right to the point! Thank you so much for posting this, +1 sub!
@yesyas59729 ай бұрын
Nice video
@eva42sh2 жыл бұрын
great explanation
@marclennardcolina60333 жыл бұрын
Very well-explained! Kudos!
@Kokurorokuko2 жыл бұрын
You didn't mention O(sqrt(2)) which is rare but also important. It grows faster than O(log(n)) but slower than O(n)
@peters5171 Жыл бұрын
Very helpful! Thank you very much
@juliosguido1992 Жыл бұрын
incredible video, thanks
@shashikantdivekar78393 жыл бұрын
Very useful and well explained. Thank you.
@muratseker64063 жыл бұрын
thank you for the series !
@jacklee61063 жыл бұрын
Great stuff. Please do more leetcode contents. Keep it up! thanks :D
@theoryofmind_music2 жыл бұрын
Awesome video! Thank you
@proterotype3 жыл бұрын
Another home run. I'm finding Data Daft is my go-to if there's a choice between content creators
@shahbajsingh42283 жыл бұрын
Great explanations
@tomaspiskule30483 жыл бұрын
useful explanation, thanks
@codeZarathustra2 жыл бұрын
Great video, thank very much!
@mareksmidrkal97542 жыл бұрын
Best explanation ever. Thanks ! @.@
@SkielCast3 жыл бұрын
Isn't traveling salesman a O(n!) problem? I think the backpack problem was O(2^n)
@DataDaft3 жыл бұрын
I believe brute force solutions to it are O(n!) but better solutions that use methods like dynamic programming are exponential times a polynomial factor ~O(2^n * n²) which is usually just described as being in the class of exponential. You can find various articles on this: medium.com/basecs/speeding-up-the-traveling-salesman-using-dynamic-programming-b76d7552e8dd
@SkielCast3 жыл бұрын
@@DataDaft Thank you so much for your answer and for the article! The video was awesome