In order to minimize the complexities in analyzing the problem for a practical FMS as depicted in Figure 1, the mathematical model is based on the following assumptions: Initially, all the jobs and machines are simultaneously available.
In contrast to the inherent complexity involved in analyzing the molecular interactions and specific physiological effects of each potentially active component in a phytotherapy, we propose to initially focus only on holistically relevant bioprocesses.
The use of the GAP approach has proved useful in analyzing the complexity and continuity of biological systems.
It is this complexity that leads not only to difficulties in analyzing the recovered material but also in analyzing the original oil in place.
The paper first presents the general results, and then uses several problems as examples to illustrate how these general results can be applied to concrete problems in analyzing the average time complexity of EAs.
Extensive simulations based on the proposed coupled approach were conducted with the conceptual NREL 5-MW offshore wind turbine in an increasing level of complexity, analyzing the turbine behavior as elasticity, wind shear and atmospheric wind turbulence are added to the simulations.
In some cases, the complexity involved in analyzing such regions is largely underestimated.
In the 'Complexity' section, we analyze the complexity of generating networks from PA models.
To reduce the computation complexity, we further analyze the probability in (19) and obtain Proposition 1. Proposition 1.
To reduce the computation complexity, we further analyze the probability in (25) and obtain Proposition 2. Proposition 2. The energy availability of the nth,∀n ∈ {1,2,…,N} relay node can be expressed approximately as follows: Pr A n A 0 A 1 … A n - 1 ≈ Γ M n ′ + 1, Λ t, (30).
