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As an example, simulations based on Reff,log (index 3 in Figure 6) as objective function yield very narrow confidence bounds (median width of 0.07 mm), but they contain only about 60% of the observations.
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For example, reservoir simulations based on potential functions were previously considered limited due to requirement of homogeneous properties throughout the reservoir (Datta-Gupta 2000).
Examples of network simulations based of several biophysical point neurons or complex multiple compartment neurons can be found, respectively in [31], [32], or [33].
The prediction and verification of atomic positions— the geometrical configuration— of a complex molecule like a protein, or of a chemically reactive surface, or of a doped solid interface, for example, begins to yield to atomistic simulations based upon classical or semiclassical force-fields.
Extensive simulations based on a chemical process example illustrate the effectiveness of the proposed approach.
Numerous examples and applications, almost 700 illustrations and numerical simulations based on the use of Matlab make the book an essential reference for researchers and students from many different disciplines who are interested in the nonlinear field.
The parameters employed in an example simulation are based on field measurements made at a fractured site.
Simulations based on lunar satellite data explain gravitational anomalies.
Simulations based on hot matter had already failed to agree with the observed universe.
Other times, they'd run simulations based on accidents documented by the National Highway Traffic Safety Administration.
Clearly, simulations based on what has gone before are limited.
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