A simplified algorithm for computing stationary cost variances for a class of optimally controlled jump parameter systems

Although procedures exist for finding the cost variances of an optimally controlled, stochastic, jump parameter system, the computational complexity inherent in these procedures impedes their general use. An algorithm is provided here that will provide the stationary cost variance with significantly less effort. An example illustrating the mechanics of the algorithm is presented.