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In case of WT modeling, complex simulators are required to verify the dynamic response of multiple components and aerodynamic loading.
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Coalescent based simulators have the advantage of being more computational efficient than forward simulators, however the constraints of the coalescent sometimes make it more difficult to model complex evolutionary phenomena.
We use Gaussian process regression to construct a Bayesian model of the complex simulator.
Complex simulators target more complex issues that integrate several aspects of a problem [ 3].
Similarly, the RA procedures are usually complex to model in simulators, thus are candidates to be modeled analytically.
For designing a WT controller, instead of going with complex simulator, the design objective can be achieved by using simplified mathematical model.
A simpler type of simulator will suffice for Crisis Management that is limited to medical resuscitation training, while more complex "model-driven" simulators with gas analysis are best for realistic intraoperative crisis training involving anesthetic gases and complex anesthetic or surgical scenarios.
UTCHEM is a three-dimensional multi-phase multi-component compositional simulator with the capability of modeling geochemical reactions, complex phase behavior, etc.
In a first step, a complex lipid network interconnected by chemical reactions catalyzed by known enzymes was modelled in COPASI (Complex Pathway Simulator).
Moinfar et al. (2014), on the other hand, proposed a fully implicit compositional reservoir simulator using embedded discrete fracture model (EDFM) to simulate complex displacement process (e.g., miscible gas injection) in fractured reservoirs.
Its central component is a high-performance flowsheet simulator, which enables complex plants to be modeled, simulated and evaluated.
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