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This tradeoff relationship, which is easily explored using the spatial resource allocation modeling approach, enables an MPA design to allow decision makers to select various non-inferior solutions to meet their decision preferences.
The main conclusion in the paper is that due to the low computation time, the convex modeling approach enables optimization of problems with two or more state variables, e.g. allowing for thermal models of the components; or to include more sizing variables, e.g. sizing of the engine and the electric machine simultaneously.
The discrete modeling approach enables the modeler to model the containers as passive objects with a predefined behavior and to visualize the energy demand per second, as time continues on the basis of the occurrence of events.
The constraint-based modeling approach enables the development of genome-scale in silico models that can predict the behavior of complex biological systems and their responses to the environments.
Our multipronged modeling approach enables simultaneous monitoring and optimization of thermodynamic, economic and environmental performance.
The proposed modeling approach enables us to solve real-world problem instances with thousands of scheduled trips by direct application of standard optimization software.
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Additionally, modelling approaches enable eloquent exploration of large-scale and long-term datasets to test predictions and ultimately construct further hypotheses.
We chose to analyze the five probe means for each gene, rather than take an overall mean (or median), because our mixed-model approach enabled us to consider all this information in the model rather than discard the variation that may be present among different probes targeting the same gene.
We show how our model driven approach enables the specification of requirements at design phase and how it allows for verification of security requirements.
Our model-based approach enables the characterization of the four phases of the cell cycle G1, S, G2, and M, which enables the study of the effect of inhibitor compounds that are designed to block the replication of cancerous cells in any of the phases.
Furthermore the model
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