Most companies store demand data periodically and make periodic forecasts, whereas many processes in inventory control need parameter estimates at the individual customer level. Guidance on estimating parameters of a continuous-time process from period is lacking, particular for popular well-studied compound Poisson class demand. Whereas statistics literature typically focuses asymptotic proper...

We propose a saddle-point preconditioner for an optimization problem constrained by the time-dependent Stokes equations, discretized using backward Euler method in time. The key ingredients are inner iteration (1, 1)-block, accelerated known heat control problem, and approximation of Schur complement involving commutator argument applied to block matrix. Numerical results demonstrate efficacy r...