Dears,
I imagine that the LP method should be the solution to find the
parameters of one objective function ...
I known there are the constrOptim command for this.
but I don't know how to elaborate the contour condictions in matricial
forms
that the way like constrOptim works
I show below one function example to be optimized
I appreciate much if somebody can help me
responding if I really am right imagining LP like ideal tool in my case
and indicate basic material (introduction) about the subject
below
Thanks in advanced
Cleber Borges
#####################
fobjective <- function( x = 0.1 ){
# Constants
k1 <- 0.007585776
k2 <- 6.16595e-08
k3 <- 2.137962e-13
k4 <- 1e-14
# Determine all the 6 variables:
# a, b, c, d, e, f
###################
# 6 Contour Condictions: ( Igualities )
###################
k1 == a * d / c # 1
k2 == a * e / d # 2
k3 == a * f / e # 3
k4 == a * b # 4
4 * a == b + d + e + f # 5
x == c + d + e + f # 6
return( c( a, b, c, d, e, f ) )
}
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