  Towards a solution to the sign problem in the simulations of systems having
indefinite or complex-valued measures, we propose a new approach which yields
statistical errors smaller than the crude Monte Carlo using absolute values of
the original measures. The 1D complex-coupling Ising model is employed as an
illustration.
