The unknown matrix is like this:
> x<-matrix(c("x11","x12","x13","x21","x22","x23","x31","x32","x33"),nrow=3,ncol=3,byrow=TRUE)
> x
[,1] [,2] [,3]
[1,] "x11" "x12" "x13"
[2,] "x21" "x22" "x23"
[3,] "x31" "x32" "x33"
This is my distance matrix.
> D<-matrix(c(1,5,10,5,2,6,10,6,8),nrow=3,ncol
On 04-03-2014, at 12:38, klq...@mail.bg wrote:
> I don't have any cost function to minimize. My task is to create the "best"
> matrix, matching the row sums, the column sums, row sumproducts (with the
> rows from another constant matrix) and also column sumproducts - it's a
> transportation pr
I don't have any cost function to minimize. My task is to create the "best"
matrix, matching the row sums, the column sums, row sumproducts (with the
rows from another constant matrix) and also column sumproducts - it's a
transportation problem of finding OD matrix corresponding the total tonnag
On 27-02-2014, at 13:22, klq...@mail.bg wrote:
>
>
>
> Dear R users,
>
>
> I have to find optimal solution of an underdetermined linear system, but
> only with positive variables. I tried the function from this post
> https://stat.ethz.ch/pipermail/r-help/2007-October/143408.html , but it's
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