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The injection and production constraints are summarized in Table 6.
These benefits and constraints are summarized below as initiatives for overcoming the challenges.
The subclasses, definitions, and examples of global physical phenomenon constraints are summarized in Table 3.
The subclasses, definitions, and examples of boundary condition constraints are summarized in Table 4.
For the sake of clarity, the whole energy constraints are summarized as the total summation of each function which the applications support.
Normal tissue dose constraints are summarized in Table 1.
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This constraint is summarized as sumlimits_{alpha} S_{alpha}=1~land~S_{alpha}>0~~ alpha in{G, L}) (47).
In this case, the simplified cooperator selection algorithm without multiplicity constraint is summarized as Algorithm 3. Its computational complexity is (Oleft (N_{mathrm node}^{2}right)) (see the Appendix 3).
Otherwise, each sensor trivially allocates its maximum energy ε i. Obviously, the reporting energy ≥ 0; hence, the individual energy constraint is summarized as 0 ≤ e i r ≤ ε i i = 1, 2, …, N. (9).
The simplified cooperator selection algorithm with multiplicity constraint is summarized as Algorithm 4, where the "remove" operation contains renumbering the remaining elements after the removal, and ρ is a scaling factor for the unreliability comparison.
Given the reported constraints, which are summarized in the legend of Figure 3, 4850 true and 121 putative EBPs were obtained (additional file 2).
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