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In this paper we argue that Cities are actually a collection of various complex models which are themselves massive multiple systems, each of millions of agents, working together to form one system consisting of an order of a billion agents of different types – such as people, communities and technologies interacting together.
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Various more complex models were tried but they failed to converge because there was insufficient replication see previous section on repeated measures.
Fractional calculus is a new research area of analytical mathematics which provides many useful tools for modelling various complex physical and biological processes with long memory [24 31].
They range in complexity from simple first-order models to more mathematically complex models incorporating various factors which influence the kinetics of pyrolysis.
Our mechanistic understanding of eutrophication processes has evolved in parallel from simple nutrient-driven relationship to complex models involving various trophic levels and ecosystem-specific features.
Using an ORDB, we get the benefit of the relational maturity and the richness of Object-Oriented modeling, including various complex data types.
More complex models with the various premedications used or coinduction with propofol as covariates did not improve the predictive accuracy or precision compared with the simple 3-compartment model.
Our model, simulated on various complex network topologies, employs simple haploid genetics and asexual reproduction of computational agents equipped with memory and heritable phenotypic traits.
The problem of searching the high dimensional conformational space to create a collection of complex models was studied by various research groups.
In the context of fuel cell stack control a mayor challenge is modeling the interdependence of various complex subsystem dynamics.
Also, many models were proposed to describe various complex networks, small-world network and scale-free network, etc.
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