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Next, with the increase in the differential threshold, ΔA max, the number of elements in every cluster increases.
where J is the total number of antenna configurations; ς max, the number of coding rates; and K is the total number of subcarriers.
In RATE, the confidence (left ({C_{i}^{j}}right)) depends on the distance from the vehicle to the event k (D k ), maximum detection range of the vehicle (D max), the number of sensors that can detect the event (N k ), and total number of sensors equipped in the vehicle (N max).
If p log2 p ≤ r f log2 o max, the number of constraints is O (r f n m p log2 o max ).
Then, if p log2 p ≤ r f log2 o max, the number of variables (Table 2) and constraints in the proposed model is, respectively, O (n m p2 log2 p) and O (r f n m p log2 o max ).
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In Fig. 3, K max is the number of the voltage levels in the first quarter period (for the MMC with 11 voltage levels, K max should be 5).
Therefore, the maximum number of cells which can be formed is determined by C max = the number of locations / lower bound of cell size.
A real bus network with 10 lines and 3 transfer nodes Guo et al. [110] Train operation Headway Transfer efficiency Passenger transfer status Max. the number of synchronizations Particle swarm optimization Annealing algorithm Beijing metro network Li et al. [75] Dynamic passenger load Min.
expected passenger waiting times Uncertain Simulation Genetic algorithm Tehran metro network Tong et al. [26] Travel time budget Space time flow Activity performing Coupling constraints Max. the number of accessible activity locations in space time network Fixed Lagrangian decomposition Chicago sketch network with 933 nodes, 2950 links Zarrinmehr et al. [49] Shortest path assignment Max.
The parameter max controls the number of iterations executed in the main loop of Algorithm 3. The final temperature at the end of algorithm execution is (t_0 times (1 - cooling_rate)^{max}).
Since the model displays only a weak dependence on the maximum number of domains in a family (N), instead of including N as a model parameter, the sum (where i max is the number of domains in the most abundant of the detected families), was normalized to equal the total number of families detected in the given genome (a requirement for the χ analysis).
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