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In addition to discipline parallelization and coarse-grain parallelization of the disciplines, embarrassingly parallel capability to run multiple parameter cases is implemented using a script system.
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Furthermore, since refractive index of any substance and therefore its absorption and scattering properties vary with wavelength, a single MWT measurement can provide a sufficient number of independent data points to extract information on multiple parameters (in cases of complex composition and/or complex structure) of measured objects.
However, in the case where multiple parameter vectors are to be measured, and the measurement model of each measured parameter vector is known, then the general EKF-based framework of AS presented[6] can be used.
In the case of multiple parameter pairs being equally acceptable, the pair that minimized the V and J alignment parameters was selected.
Valid solutions for multiple parameter sets were calculated numerically – in all cases, a maximum of one existing value of e* could be found when these constraints were applied.
One might seek to extend this to multiple parameters, in which case subjects could be facing very difficult and lengthy tasks.
Such methods are useful for probing consistent behaviour (termed core predictions) among multiple parameter sets, even in the non-identifiable case.
Furthermore, in many cases the model structure is such that the inverse problem of parameter fitting is ill-posed due to multiple parameter values producing the same model output.
A multiple parameter optimization viz.
The robustness to multiple parameter perturbation greatly depends on the values of kinetic parameters.
Parameter optimisation to fit such data can reveal multiple parameter sets spanning large tracts of parameter space.
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