Hello, I would like to optimize the function "fqp" as following: a= c(0.2,0.3,0.4) vcov=matrix(c(1,2,3,4,5,6,7,8,9),3,3) fqp <- function(b) {t(b)%*%a-0.5*((t(b)%*%vcov)%*%b)} I want the linear constraint to be something like abs(b1)+ abs(b2)+abs(b3) = 1.5. I found it diffcult to use "constrOptim" in this case. Could anyone give me some advice? Many thanks. -- View this message in context: http://www.nabble.com/linear-constraints---absolute-value-tp14999843p14999843.html Sent from the R help mailing list archive at Nabble.com.