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The first model used scenario (a) and the second model used scenario (b) as stated above.
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The second aim is to develop a robust model based on the deterministic proposed model using scenario-based robust optimization approach.
(NRC 2002) In this article we extend previously published risk assessment models, using scenario-specific information from Brooks et al. (2005) and Eisenberg et al. (2004), to the analysis of pathogen data from biosolids.
The model is the same model used for Scenario 1, validation has only been performed to see that the new freight trains schedule does not cause any build-ups on the system.
The model used in this scenario is very similar to the model in Section 4.
Then we reformulate the model using a scenario tree approach and rearrange the emerging scheme to improve performance and simplify the incorporation of the delay via slack control functions.
On the other hand, in the Markov model used here, the ACCG scenario is implemented as if it were a prescriptive scenario.
In particular, we discretize the uncertainties in the model formulation by using scenario trees and target the control delays by introduction of slack control functions.
This section describes the construction of the multi-agent model used to simulate the scenarios of pension system reform.
The model used here to compare scenarios held total cooking time constant at 3 hr, which is a simplification because total cooking time in homes can be higher or lower.
Business process performance assessment is achieved through a systematic walkthrough of the process model using these scenarios.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com