I would like to linearize the following :
where c and r are continuous variables in [0,1] the objective function is to minimize d I tired
it doesn't seem to work properly. I get a lot of non basic values. what am i doing wrong asked 04 Jan '18, 08:07 nardinebasta 
I don't know what you mean by "get a lot of nonbasic values". If minimizing \(d\) is the full objective function (i.e., the objective function does not contain any other variables), your two constraints should suffice. answered 06 Jan '18, 16:14 Paul Rubin ♦♦ If \(c=0.1\) & \(r=0.4\) then \(d=0.3\). And obviously If \(c=0.4\) & \(r=0.1\) then also \(d=0.3\). All is OK.
(09 Jan '18, 07:28)
Slavko

Have you tried typing "absolute value" in the search box?
thank you for your reply :) yes i did but wasn't successful in finding the solution
Maybe this will work: \[\begin{array}{l} \text{minimize} & d_1+d_2\\ \text{subject to:} \, & \left\{ \begin{array}{l} d_1d_2+cr=0 \\ d_1 \geq 0 \\ d_2 \geq 0 \end{array} \right. \end{array}\]