## 54 Replies - 304101 Views - Last Post: 06 September 2019 - 09:53 AM

### #16

## Re: Determining Big O Notation

Posted 30 March 2010 - 09:00 PM

@quophyie

1. It iterates 12 times so the exactly growth rate is stable, you "could" say O(12) or O(1)

2. yes, log(n) means you need to raise that number to a certain power to get that number. The smallest way to get log(n) is to multiply the increment by 2 (larger numbers also work and probably have a more exact answer, but I lump them into log(n)).

3. That is an infinite loop.

4. No idea. It's a typo, I'll fix it.

5. It's only O(n) if it iterates 'n' number of times, where 'n' is the # of elements in the data structure. Since we're multiplying n by itself we now iterate O(n^2) times.

1. It iterates 12 times so the exactly growth rate is stable, you "could" say O(12) or O(1)

2. yes, log(n) means you need to raise that number to a certain power to get that number. The smallest way to get log(n) is to multiply the increment by 2 (larger numbers also work and probably have a more exact answer, but I lump them into log(n)).

3. That is an infinite loop.

4. No idea. It's a typo, I'll fix it.

5. It's only O(n) if it iterates 'n' number of times, where 'n' is the # of elements in the data structure. Since we're multiplying n by itself we now iterate O(n^2) times.

### #17

## Re: Determining Big O Notation

Posted 30 March 2010 - 09:42 PM

KYA, on 12 September 2009 - 04:03 PM, said:

for(int i = 0; i < n; i *= 2) { cout << i << endl; }

for(int i = 0; i < n; i++) { //linear for(int j = 0; j < n; j *= 2){ // log (n) //do constant time stuff } }

Last time I checked (about 1.5 minutes ago), taking 0 * 2 gives me 0. I'm thinking your Big O is a little more than log(n).

### #18 Guest_quophyie*

## Re: Determining Big O Notation

Posted 31 March 2010 - 02:55 AM

Cheers KYA!! It all makes sense now especially the log(n) bit. Thanks you very much for making Big-O clear and easy to understand. In all my years at university, non of my lecturers were able adequately to explain big-O and how its applied and its taken your simple blog to explain it. Thanks again man!!!

### #19

## Re: Determining Big O Notation

Posted 02 April 2010 - 08:59 PM

### #20 Guest_kpb15*

## Re: Determining Big O Notation

Posted 06 August 2010 - 02:58 AM

{ for(j=1; j<=n; j++) for(k=1; k<=n; k++) { c[j][k] = 0; for(l=1; l<=n; l++) c[j][k] = c[j][k] * b[l][k]; } }

My head hurts. Is this O(n^k)? A simple yes or no would be enough, but I'd really appreciate it if you can point me to the right direction.

### #21

## Re: Determining Big O Notation

Posted 06 August 2010 - 07:06 AM

Technically, it's O(n^3) as you have three nested for loops making n iterations. But it is bounded by O(n^k).

### #22 Guest_amit*

## Re: Determining Big O Notation

Posted 06 August 2010 - 09:57 PM

Really appreciable and doubt clearing concept u gave.

### #23

## Re: Determining Big O Notation

Posted 04 September 2010 - 09:22 PM

Just a question, would an if statement nested inside a while loop be considered a nested statement or a sequential statement?

For example:

That's the one thing I noticed wasn't really noted.

For example:

while(x!=0){ if(y>z){ i++; } }

That's the one thing I noticed wasn't really noted.

### #24

## Re: Determining Big O Notation

Posted 05 September 2010 - 08:00 AM

It's additive in regards to efficiency, so it is a constant, and constants are dropped when calculating Big-O.

### #25

## Re: Determining Big O Notation

Posted 05 September 2010 - 09:37 AM

Alternatively, you could view conditionals constant as well. (Unless said conditional calls a function or such that is known to be a certain runtime, i.e. strlen(), sizeof(), etc...

### #26

## Re: Determining Big O Notation

Posted 05 September 2010 - 11:02 AM

So, a series of If Else statements would be additive as well.

Like:

Like:

if(x==0){ y++; } else if(x>0){ y--; } else{ return 0; }

macosxnerd101, on 05 September 2010 - 07:00 AM, said:

It's additive in regards to efficiency, so it is a constant, and constants are dropped when calculating Big-O.

This post has been edited by **ThePheonix21**: 05 September 2010 - 11:07 AM

### #27

## Re: Determining Big O Notation

Posted 06 September 2010 - 06:15 PM

Yes, but for Big-O they are irrelevant as they are constants, and they will get dropped at the end.

### #28 Guest_Wilko*

## Re: Determining Big O Notation

Posted 09 September 2010 - 08:20 PM

To write O(log(n^3)) would you do say a series of for loops the first being O(logn) then 3 O(n) loops for example

And does the form O(k^n) exist? for example O(4^n). because if you multiply nested loops it will give it the other way round like n^4 so not sure how you'd do this.

for(int a=1; a<n; a*=2) { for(int b=1; b<n; b++) { for(int c=1; c<n; c++) { for(int d=1; d<n; d++) { } } } }

And does the form O(k^n) exist? for example O(4^n). because if you multiply nested loops it will give it the other way round like n^4 so not sure how you'd do this.

### #29 Guest_Guest*

## Re: Determining Big O Notation

Posted 25 October 2010 - 12:19 AM

Wilko, on 09 September 2010 - 07:20 PM, said:

To write O(log(n^3)) would you do say a series of for loops the first being O(logn) then 3 O(n) loops for example

And does the form O(k^n) exist? for example O(4^n). because if you multiply nested loops it will give it the other way round like n^4 so not sure how you'd do this.

for(int a=1; a<n; a*=2) { for(int b=1; b<n; b++) { for(int c=1; c<n; c++) { for(int d=1; d<n; d++) { } } } }

And does the form O(k^n) exist? for example O(4^n). because if you multiply nested loops it will give it the other way round like n^4 so not sure how you'd do this.

I am interested in the above mentioned problem as well, anyone knows?

### #30 Guest_Asma Zeb*

## Re: Determining Big O Notation

Posted 05 November 2010 - 01:47 AM

sir kindly explain me running time complexity for the following piece of code:

y=0;

x=0;

for (i=n; i>0;i=i-1)

{ y=y+1;}

for (i=1;i<=n;i=i*3)

{ for (j=1;j<=3n;++j)

{

for(k=0;k<n; k=k+5)

{

x=x+5;

}

}

}

Waiting for your positive feed back...i'm getting confused how to find out Big O for nested loops...Thanks

y=0;

x=0;

for (i=n; i>0;i=i-1)

{ y=y+1;}

for (i=1;i<=n;i=i*3)

{ for (j=1;j<=3n;++j)

{

for(k=0;k<n; k=k+5)

{

x=x+5;

}

}

}

Waiting for your positive feed back...i'm getting confused how to find out Big O for nested loops...Thanks