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The most widely discussed models for dolomitization, either partial or complete, involve four chief variables: time, location with respect to the sediment-seawater interface, composition and derivation of the solutions involved, and fluxing mechanisms.
A comparison of the discussed models is provided in Table 1.
A concise analysis of all the discussed models has been presented in Table 1.
Many of the previously discussed models [91, 92] have a separate equation for the diffusion.
However, to date we have only discussed models of supertasks in classical mechanics, relativistic mechanics and quantum mechanics.
The initial poroelastic or "undrained" drilling effect on pore pressure is also incorporated in the discussed models.
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Ehud Kalai and Ehud Lehrer (1993) offer a widely discussed model of sophisticated Bayesian learning.
In the discussed model, hydrophobic interactions are partly responsible for the stability of the micelles.
The most widely discussed model is the "developmental hourglass", which places the strongest conservation across species in the "phylotypic stage".
The simulation of the active and passive state component concentrations is qualitatively like the one of the previously discussed model.
We thus next discuss models where the entire structure of the network might matter for an individual's outcome.
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