What complexity have a log(sum) shape?
Timon Gehr via Digitalmars-d
digitalmars-d at puremagic.com
Tue Dec 8 13:18:01 PST 2015
On 12/08/2015 09:56 PM, cym13 wrote:
> On Tuesday, 8 December 2015 at 17:33:49 UTC, Andrei Alexandrescu wrote:
>> On 12/08/2015 12:12 PM, Timon Gehr wrote:
>>> O(log(n+m)) = O(log(n)+log(m)).
>>
>> Noice. Yes I did miss it. Thx!! -- Andrei
>
> Surely I'm missing something obvious but why is it true exactly?
n+m ≤ 2·max(n,m). (1)
max(n,m) ≤ n+m. (2)
Hence,
log(n+m) ≤ log(max(n,m)) + log(2) by (1)
= max(log(n),log(m)) + log(2) by monotonicity
≤ log(n) + log(m) + log(2) by (2),
log(n)+log(m) ≤ 2·max(log(n),log(m)) by (1)
= 2·log(max(n,m)) by monotonicity
≤ 2·log(n+m) by " and (2).
Similar arguments work for any monotone increasing function that does
not grow too fast.
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