Accumulated Reward Solver
Accumulated reward solver
The accumulated reward solver (ars) solves for transient interval-of-time variables, i.e., for intervals ![[t_0, t_1]](/wiki/images/math/0/b/3/0b3b8cb99d808fe833d8f1c61cac6b2e.png)
for which both 
and 
are finite. The starting and stopping times are specified for each interval or time-averaged interval of time reward variable in the reward model. The ars solver gives the expected accumulated reward, as well as the expected time-averaged accumulated reward over the interval. The results are derived by uniformization. <xr id="fig:arsSolver" /> shows the editor for the accumulated reward solver and its available options and adjustable parameters. The options are similar to the transient reward solver options.
<figure id="fig:arsSolver">
The output file contains the means, both time-averaged and accumulated, of the performability variables. It also contains additional information similar to that described for the trs solver.
Pitfalls and Hints
- The ars solver is an extension of the trs solver, and the remarks for trs apply here as well.
