Exact(8)
The models of such systems take the form of exponential polynomials and arise from problems such as tubular processes, multicomponent mixing processes, and population balance equations.
The mechanical impedance method offers a computationally efficient means of developing simple, but sufficiently accurate analytical linear models of such systems, for most practical purposes.
An important problem is to construct models of such systems from a partial specification of dynamic properties, e.g., from a collection of state transition measurements.
First principles models of such systems constructed using process simulators are far too complex for use in online applications, especially in model-based control.
All the relevant stakeholders need to get involved in developing alternative healthcare system models and be able to understand and interact with models of such systems in order to accelerate the adoption and diffusion of changes.
While first principles models of such systems can be constructed with process simulators, they are usually too complex for use in on line applications such as in model based control.
Similar(52)
This trend poses many challenges for the modeling of such systems.
Transient or dynamic simulation software, such as TRNSYS and EnergyPlus, enable modeling of such systems and the respective dynamic responses.
Thus, efficient and accurate treatment of electrostatic interactions is of great importance in computational modeling of such systems.
Mathematical modeling of such systems often relies on homogenization of pore-scale equations and macroscale continuum descriptions.
Three-dimensional modeling of such systems, especially in the presence of complex internal partitions, remains a challenging task.
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