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O(n) , O(n log n), O(n^2)


O(n) , O(n log n), O(n^2)

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Lynn Pettis
Lynn Pettis
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karthik M (3/16/2013)
Hello All,

I just refreshed all my posts.

This is a very old post (asked on 2009) Smile

How to identify whether a code fall under O(n) / O (n2) / O(n log n) by seeing the code ?


Most of us don't try and analyze our code to determine if it is O(n), O(n^2), or O(n log n). We test our code against expect data loads, and then unexpected loads (the million row test) and tune our code appropriately to achieve a scalable solution.

Cool
Lynn Pettis

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karthik M (3/16/2013)
How to identify whether a code fall under O(n) / O (n2) / O(n log n) by seeing the code ?


http://en.wikipedia.org/wiki/Analysis_of_algorithms
Should get you started. The list of references and further reading too.

Gail Shaw
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