You have an overactive imagination... these equations are nonlinear.
--
Sent from my phone. Please excuse my brevity.
On May 14, 2016 3:27:30 PM PDT, "Cleber N.Borges" <kle...@yahoo.com.br> wrote:
>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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>---
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R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
