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In general relativity, events are continuous and deterministic, meaning that every cause matches up to a specific, local effect.
The optimal mechanism is continuous and deterministic.
This divides the model as discrete or continuous and deterministic or stochastic.
Among them, fractional differential equations (FDEs) and fractional partial differential equations (FPDEs) are most often applied to represent continuous and deterministic systems.
For a wide range of realistic parameters, however, differential equation models, which are continuous and deterministic, exhibit a behavior that is generally considered biologically implausible.
Although this method is already in use, the fundamental problem of using a continuous and deterministic representation of a small number of diffusing molecules has not been addressed.
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Hybrid BNs contain a mix of discrete, continuous, and conditionally deterministic random variables.
The majority of the existing research results have been limited in continuous-time and deterministic NNs.
The asymptotic limits of both Monte Carlo (continuous in space) and deterministic approaches (based on linear-discontinuous finite elements) for solving the transport equation are investigated in slab geometry.
A second distinction could be made between stochastic, discrete and deterministic, continuous models.
Petri nets, which define the structure of our model, are then turned into stochastic and continuous (deterministic) simulation frameworks, which are used to study the dynamics.
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