Am 2015-03-25 um 16:30 schrieb Gurshabad Grover:
> I think you meant n^2 + O(n) = O(n^2). 

Correct. Thanks.


> On Monday, March 16, 2015 at 7:29:18 PM UTC+5:30, Daniel Krenn wrote:
> 
>     Am 2015-03-02 um 20:52 schrieb Raymond:
>     > 1. From Meta-Ticket 17716, I couldn't understand the example 2, (4
>     * n^2
>     >  * t + 3 * n * t^2  + O(n)) + (O(n^2  * t^3/2 )) evaluates to (3 *
>     n *
>     > t^2  + O(n^2  * t^3/2 )).      
>     > Highly likely that this is something basic, but despite reading the
>     > explanation below, I couldn't quite get a hang of it.
> 
>     Whenever something is asyptotically smaller, then it gets "eaten up" by
>     O-terms: n^2 + O(n) = O(n). In the multivariate case, the powers (in
>     the
>     examples above) of each variable has to be smaller in the one
>     expression
>     than in the other. Thus, n^2 t^2 + O(n t) = O(n t), but
>     n^2 t + O(n t^2) cannot be simplified.
> 
>     > So, are there
>     > pointers to any mathematical primers - courses, lectures, etc, online
>     > which would be most relevant to this project that you could point
>     me to?
> 
>     For the asymptotic expressions this is difficult...you can look in
> 
>     Flajolet and Sedgewick, Analytic Combinatorics
> 
>     or
> 
>     Pemantle and Wilson, Analytic Combinatorics in Several Variables
> 
>     Both books work with asymptotics, but they present tools to solve
>     combinatorial problems.
> 
>     Daniel
> 
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