MISD is the geometric mean of the seven sub-metrics, which were directed toward sustainability, and rescaled (normalized) 0 (worst case) to 100 (best case).
Post-layout simulation results confirm less than 1.7° worst case phase step error, settling time less than 2 clock cycles and power consumption 0.6 mW at 6 Gbps.
When this data structure is used in combination with a new memory topology it executes all discrete priority queue operations in O(1) worst case time.
Figure 8 Worst case scenarios for (a) HexDD, (b) LBDD, (c) GHT, (d) TTDD, (e) RailRoad.
Figure 5 presents the SD simulation model average annual Total Community Asset positions for n = 10 50-year trials for the simulation scenarios of Table 7: (a) R1, Worst case (no adaptation/high storm severity); (b) R2, Protect—Worst case storms; (c) R3, Accommodate—Worst case storms; and (d) R4, Retreat—Worst case storms.
Looking at a WTP threshold of €60,000 and €80,000 the probability that AVD is cost-effective is 0.22 and 0.31 (worst case), 0.53 and 0.63 (base case) and 0.85 and 0.89 (best case), respectively.
In Figure 5 it can be seen that the probability that AVD is cost-effective is 0.07 (worst case), 0.36 (base Case) and 0.75 (best case) when considering a WTP threshold of €40,000.
In these scenario analyses a strong variation of the cost-effectiveness results was obtained ranging from €23,512 (best case) to €176,958 (worst case) per QALY gained by AVD therapy.
In these analyses a strong variation of the cost-effectiveness results was obtained ranging from €23,512 (best case; RR 100%; AVD first year costs €55,000) to €176,958 (worst case, RR 25%; €115,000) per QALY gained by AVD therapy.
