I use nloptr to perform optimization.
In one example,the lb for each variable is 0 and ub is Inf during the first run.
x <- c(10,10,10,10) # initial values
lb <- c(0,0,0,0)
ub <- c(Inf,Inf,Inf,Inf)
optimised.answer = 4.2,0.001,20,21
To run the second time for a better match, I set a condition in the ub
matrix saying if the value of any of optimized variable in the first
run is less than 0.01, set the ub for that variable as 0; both lb and
ub for that variable is 0. So I expect that during the second run,
this variable is not varied by the optimizer at all.
i.e. new.x <- c(4.2,0,20,21)
But when I run the optimizer the second time with the "new.x",all the
above variable is still varied by the optimizer!
Is there anyway to not have the second variable varied?
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