I suspect you probably need to provide an example that illustrates why this seems difficult:

> x <- 1:10
> f1 <- function(x) exp(x)
> g1 <- function (x) log(x)
> h1 <- function (x) x^(1/2)
# any of these functions would return a 10 element vector if given x as an argument

> f1(x)*g1(x)*h1(x)
[1] 0.000000e+00 7.243182e+00 3.821981e+01 1.513782e+02 5.341111e+02 1.770607e+03 5.645900e+03 1.753265e+04 5.341289e+04
[10] 1.603838e+05

> sum( f1(x)*g1(x)*h1(x) )
[1] 239476.8

Examples might help ....
--
David Winsemius


On Mar 10, 2009, at 7:38 PM, Lars Bishop wrote:

Hi,

I'm a new R user and would appreciate your help regarding the following: Can
I create a matrix whose elements are n functions of a vector x? In my
problem I have 3 vectors (a,b,c) with elements a=[f1(x) f2(x)....fn(x)];
b=[g1(x) g2(x)....gn(x)]; c=[h1(x) h2(x)....hn(x)].


I need to create a final
function that looks like: f(x)=f1(x)*g1(x)*h1(x)+..... +fn(x)*gn(x)*hn(x). (f(x) is my objective function of an optimization problem).Is this possible
to create f(x) in the way I described?


Many thanks in advance for your help!

Lars.

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Heritage Laboratories
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