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We provide a software tool specifically designed for modelling large scale organelle formation systems by means of vesicular transport.
On the other hand, BioASP only calculates predictions under repair that hold true under all repair sets (i.e. not all possible), however it is capable of dealing problems of much larger size, rendering it ideal for modelling large scale regulatory networks.
Finally, common challenges, including micro/macroscopic modelling, large scale computing and fundamental physicochemical phenomena are discussed.
Modelling large scale catchments using such kind of models is impractical due to the problem of acquiring the amount of data needed in the models and, therefore, a different approach should be implemented.
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Roads can be created manually, but this can become a time-consuming and laborious process when modelling large-scale networks.
This paper provides a conceptual framework, called a megamodel, that aims at modelling large-scale software evolution processes.
We present a novel software framework for modeling large-scale engineered systems as mathematical optimization problems.
In the presented hybrid navigation model, graph-based methods using visibility graphs are used to model large-scale wayfinding decisions.
To understand and model large-scale reactive transport the interactions of these coupled processes need to be understood and quantified.
The shallow water equations are used to model large-scale surface flow in the ocean, coastal rivers, estuaries, salt marshes, bays, and channels.
This approach benefits from EMTP advantages in modeling large-scale networks and from field solver advantages for detailed representation of power transformer iron cores.
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