The interference factor for the intermediate cases can be calculated by linear interpolation.
In any case, this example shows that error rate reduction by employing a reject option will have an impact for the intermediate cases.
It is not to be expected that one can write down interesting general mathematical theorems for these "intermediate" cases.
However, for more realistic intermediate cases in which cells are part of small aggregates, the situation becomes nontrivial.
The method reduces to a DG scheme for pure convection, and to a Mixed method for pure diffusion, while for the intermediate case the combined variational formulation requires no additional parameters.
Here, we use the following formulation: begin{aligned} Z_l equiv zeta _l^alpha = left( sum _{j=1}^c v_{lj}right) ^alpha, quad alpha in [0, 1], end{aligned} (11 where the parameter (alpha ) controls the possibility level, from a totally probabilistic ((alpha =1)) to a totally possibilistic ((alpha =0)) model, with all intermediate cases for (0<alpha <1).
For an intermediate case of costly signal manipulation, both patents and prizes may be optimal.
For the intermediate case, the example presented in the previous section illustrates the result quality.
Fourth, some discussions are given for the intermediate case where (R^>1) while (R_leq1).
In particular, for the intermediate case of a reproduction number of 1.4 and mean serial interval of 2.8 days, the delay was reduced from 33 to 26 days.
