On Thu, Aug 2, 2012 at 5:58 AM, loyolite270 wrote:
> oh sorry ..
>
> The detailed description of the problem is given below
>
> dataFrame is matrix of dim 100X100 with some values
Odd name for something that's not a dataFrame (i.e., data.frame != matrix)
> a is a vector of length 1
> x is a
oh sorry ..
The detailed description of the problem is given below
dataFrame is matrix of dim 100X100 with some values
a is a vector of length 1
x is a vector of any length between 1 to 99
funcScore<-function(a,x){
sc<-0
sc1<-0
for(j in 1:(length(x))){
sc<-sc+abs(d
You'll have to give a more realistic description to get detailed help:
otherwise, look up "combinatorial optimization" and "parallelization"
for some generic pointers.
Best,
Michael
On Wed, Aug 1, 2012 at 11:34 AM, loyolite270 wrote:
> Thanks for the reply, but the example i have given above is
Thanks for the reply, but the example i have given above is a sample
function. I would be using a function with input vector of size more than
100 and the function will compute some score based on the 100 vector
combinations.
Since i don't want to do this computation sequentially for all these
com
On Aug 1, 2012, at 16:34 , Sarah Goslee wrote:
> combn() gives ordered combinations, while expand.grid() gives all
> combinations.
...and there's one more function that is designed to tabulate a function of two
variables over a grid. And yet another one to find which value is max in an
array
combn() gives ordered combinations, while expand.grid() gives all combinations.
I'd give worked code but this hints at homework to me.
Sarah
On Wed, Aug 1, 2012 at 10:23 AM, Eik Vettorazzi wrote:
> Hi,
> not sure if that is what you are looking for, but have a look at
>
> cmb<-t(combn(c(0,3,5,8
Hi,
not sure if that is what you are looking for, but have a look at
cmb<-t(combn(c(0,3,5,8),2)) #get all pairs of combinations
cbind(cmb,apply(cmb,1,diff)) #for each pair, get the difference
cheers
Am 01.08.2012 12:29, schrieb loyolite270:
> Hi
>
> I need to optimize the below function:
>
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