The scheduling theory of Heemstra de Groot et al.  is supplemented by extending the Final Matrix's usefulness beyond finding iteration bounds, critical loops and subcritical loops of recursive data flow graphs (RDFGs) to scheduling. DFG is a special case of Petri nets (PN). Hence we apply the cycle time theory of PN to the scheduling of DFG. Contributions include (1) Development of explicit formulas for slack time, scheduling ranges and its update, and static rate-optimal time scheduling based on entries of the final matrix; (2) development of a fastest processor assignment algorithm based on the rate-optimal static scheduling without unfolding while considering the abnormal cases of iteration bounds being fractional or smaller than some node execution times; (3) discovery of a new anomaly in addition to the above two cases; (4) development of a user-friendly integrated graphical CAD tool to view critical and subcritical loops, iteration bounds, scheduling ranges, level and processor assignment diagrams based on a single tool "final matrix" rather than different tools as in [1-3]; (5) elimination of redundant steps such as the construction of inequality graphs; (6) development of a proof showing that the ALAP and ASAP fixed-time schedulings satisfy the firing rule; and (7) thousand folds faster (linear time complexity) than  and uses less number of processors in the case of large DFGs.