Stabilizing the Richardson Algorithm by Controlling Chaos
  By viewing the operations of the Richardson purification algorithm as a discrete time dynamical process, we propose a method to overcome the instability of the algorithm by controlling chaos. We present theoretical analysis and numerical results on the behavior and performance of the stabilized algorithm. 
Song He (Bell Laboratories, Lucent Technologies, Murray Hill, NJ)