By quantifying the errors in the numerical solution, we obtain optimal parameters for a given domain size and Reynolds number, and thereby achieve good parallel scaling on O(104) processors.
With this mind, the quality of information contained within 'As-Built' electrical documentation for an 'Underground Railway Station' is evaluated by quantifying the errors and omissions contained within them.
By quantifying the upscaling errors using well-defined metrics, the contribution of each component of the overall procedure to the accuracy of the coarse models is assessed.
This section describes the technical details in modeling error/uncertainty in geospatial utility data and quantifying the error model by linking accuracy to data lineage.
The intra-subject bias (inaccuracy) and precision of the predictions were assessed by quantifying the median prediction error (MDPE) (median of all MDPEi) and median absolute weighted residual (MDAPE) (median of all MDAPEi), respectively.
Eliminating implicit over-precision is an important step, but ultimately our goal should be to report our estimates as realistic ranges of true values by quantifying the sources of error.
The torsional geometrical parameters of a large number of either open- or closed-shaped steel sections are determined, verifying wherever possible the accuracy of the employed method and quantifying the errors induced by the TTT.
Understanding and quantifying the errors introduced by sequence mismatches is important, not only for handling microarray data, but also data from any high-throughput assay that makes use of duplex formation, for example sequence capture for regional sequencing [ 7- 10].
Sensor clinical accuracy was determined using Clarke error grid analysis (EGA) by quantifying the percentage of blood glucose determinations falling in zones A and B of the error grid.
In practice it is almost impossible to quantify the error made by this substitution though.
