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Possible Duplicate:
Plain English explanation of Big O

I can't find any sufficient help for learn or understand about O-notation, and how learn about time or space complexity. So please suggest me , where can I start this. Its really need to me, for now these time.So please give me solution quick. Thanks a lot in advance.

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userBI
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  • This is such an exact duplicate (of several dozen questions on this site); why has no one voted to close this?! – ShreevatsaR Aug 16 '10 at 18:05
  • sorry sir I had also try to find this type of question but I am not satisfied with any question, so I asked, I am also don't want to ask repetitive question. I know every one has valuable time. Sorry for this time. – userBI Aug 17 '10 at 17:29

5 Answers5

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Algorithms

      

Glorfindel
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Daniel Moura
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  • I posted the same thing but without the nice pic. I will upvote for great pic. What a great book. – Maestro1024 Aug 11 '10 at 20:50
  • thanks but I v got this just 2 hours ago. I m not sure to go with this because its huge, and I want to go with basic.I m not sure If you have gone this through then what should I do, go with this or at first take help of any basic note or book. If I should do with basic then which? – userBI Aug 11 '10 at 21:00
  • hey Daniel if now online now can u response? – userBI Aug 11 '10 at 21:05
  • Go through it. Don't be daunted by the size, it is big because it is thorough, not because it is difficult. Also see the associated lectures http://www.catonmat.net/blog/mit-introduction-to-algorithms-part-one (this is the link I have bookmarked. The lectures are at MIT, but the blogs commentary is also very good) – deinst Aug 11 '10 at 21:11
  • thanks how to contact with you I want more help from you, If you wish – userBI Aug 11 '10 at 21:46
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Best explanation of Big O I've ever seen:

What is a plain English explanation of "Big O" notation?

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Ian Henry
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Uh, Wikipedia? Although Big O notation (and algorithm analysis in general) is a pretty broad and substantial topic, so I doubt you're going to find a "quick solution" to learning it.

mipadi
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Introduction to Algorithms

Also http://en.wikipedia.org/wiki/Big_O_notation

Also, there are some great lectures out there on youtube and itunesU

Maestro1024
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"Concrete Mathematics: A Foundation for Computer Science (2nd Edition)" would be another book recommendation I'd toss out there. Big O isn't that difficult but it can take a while to get the hang of what it is trying to convey.

JB King
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