Hello,
Resending this message in "Plain-text".
Thank you for the add to the list.
I have written a R snippet to solve a non-linear problem using Optim solver.
The parameters to be solved are supposed to be in a matrix form as attached
such that summation of columns is <=1 except for the first column. ie,
P1.F1j + P2.F1j <=1 , P1.F2j + P2.F2j <=1 , P1.F3j + P2.F3j <=1 and so
on..
Since OPTIM solver considers "pars" only as vector, I defined the vector as
my.data.var <- vector("numeric",length = 12)
and in the OPTIM solver, I passed it as
optim(my.data.var, Error.func, method="L-BFGS-B",
upper=c(Inf,1,1,1,1,1,Inf,1,1,1,1,1))
Then in the error function, I stacked the vector into a matrix as :
my.data.var.mat <- matrix(my.data.var,nrow = 2, ncol = 6,byrow = TRUE)
So, my first question is how do I define the constraints for each column
except the first one in the OPTIM solver? As you can see, with the UPPER
limit in the OPTIM solver, I can fix the upper bound, but there is no way
for me set the summation constraint to <=1.
Do I need a different solver for this scenario which allows me to use
Matrix elements as parameters?
Thanks!
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