Algorithms Lesson 6: Big O, Big Omega, and Big Theta Notation

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Uploaded by on Feb 19, 2010

http://xoax.net/

For this algorithms video lesson, we explain and demonstrate the main asymptotic bounds associated with measuring algorithm performance: big O, big omega, and big theta. in algorithm analysis, we are more with how an algorithm scales than the exact time of execution. This is sometimes referred to as complexity analysis. Lesson page:
http://xoax.net/comp/sci/algorithms/Lesson6.php

Please submit all questions to our forum: http://xoax.net/forum/

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Top Comments

  • you guys are one of the best sources for algorithms. thanks so much. im a high schooler and learning this stuff is hard to come by

  • simply can't wait for more

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All Comments (55)

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  • Thanks- good video, good voice.

  • i could do without the music its distracting ... good video though

  • THANK YOU!

  • thanx

    

  • @rsnjawarrior1 Btw leave the music, It is soothing and beneficial, I am very into music. Keep it. KEEP IT!!!!

  • Plz dont stop. This is how im passing my tests. =D

  • WOW I was reading so many books on this and did not get it. The visuals REALLY helped. THANKS!

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