Thank-you Berend. This approach does work. Now I need to constrain the
problem so that sum(d.NR) is positive for each fleet. I tried this but with
no luck:
*nfleets<-2
nareas<-2
M<-1
M<-array(M,dim=c(nfleets,nareas))
N<-1000
cost<-c(40,40)
cost<-array(cost,dim=c(nfleets,nareas))
Price<-2
Price<-ar
Hi All,
I am having some real difficulty in trying to carry out constrained
optimization. I have had no problems with the Optim() function but when I
try to constrain the problem I am getting all sorts of error messages.
The model is a simple 2 area, 2 fleet, 1 stock model of a fishery. The code
i
Thanks Simon, the code worked very well.
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Hi All,
I am trying to use optim() to minimize a function with a penalty function
term. This is a simple model bioeconomic model of a fishery. The penalty
function constrains the amount of effort (f) at 9. This works fine. The code
is:
**
nfleets<-2
M<-1
M<-array(M,dim=c(nfleets))
N<-1000
c
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