We consider column sufficient linear complementarity problems and study the
problem of identifying those variables that are zero at a solution. To thi
s end we propose a new, computationally inexpensive technique that is based
on growth functions. We analyze in detail the theoretical properties of th
e identification technique and test it numerically. The identification tech
nique is particularly suited to interior-point methods but can be applied t
o a wider class of methods.