  We are interested in finding a solution to the tensor complementarity problem
with a strong M-tensor, which we call the M-tensor complementarity problem. We
propose a lower dimensional linear equation approach to solve that problem. At
each iteration, only a lower dimensional system of linear equation needs to be
solved. The coefficient matrices of the lower dimensional linear systems are
independent of the iteration after finitely many iterations. We show that
starting from zero or some nonnegative point, the method generates a sequence
of iterates that converges to a solution of the problem monotonically. We then
make an improvement to the method and establish its monotone convergence. At
last, we do numerical experiments to test the proposed methods. The results
positively support the proposed methods.
