Sentence examples for model expressions are from inspiring English sources
The model expressions are scaled and nondimensionalized to determine the minimum parametric representation of the system.
Based on the ray optics model, expressions were derived for the calculation of the intensity of the CCD-camera signal generated by solved fluorophores in the flow cell volume.
In the different models, expressions are given (when these can be found – otherwise unbiased estimates are given) for prediction error variance, accuracy of selection and expected response to selection on the additive genetic scale and on the observed scale.
The multi-component source-plus-background model expression is defined by convolving a PSF kernel read from an image file with a 2D Gaussian plus constant model.
set_source(, "gauss1d.gaussID") # create model components "gaussID" The ability within the native Sherpa link command to link a parameter to an arbitrary model expression is not currently supported within the datastack module.
The model expression is scaled by a modified function of Kp, which reflects the delayed reaction of foF2 to Kp changes.
If not given then the source model expression is searched to find a component with these parameters; this argument is therefore only needed when there are multiple components with these parameters in a source expression, or you want to use values from a separate model component.
In terms of this model the expressions are obtained for surface capacity as a function of potential, temperature and defect concentrations in solid electrolyte.
For highly complex models, analytical expressions are not fully capable of describing the processes involved, and in such cases the solutions are obtained by numerical calculations.
This talk, based on my dissertation research, uses findings from psychophysics and aesthetic research to offer a predictive model for when expressions are subjective.
In these models, mostly analytical expressions are used to calculate the different parameters for each flow regime.
