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After the seeding procedure has been initiated and the marker traces been identified, the alignment is finally optimized through a bundle adjustment procedure by minimizing a reprojection error.
The thickness, optical constants, and band gap of the films are evaluated in a fitting procedure by minimizing the root-mean-square error (RMSE) which defined as follows [33]: mathrm{RMSE}=sqrt{frac{1}{2x-y-1}{displaystyle {sum}_{i=1}^xleft[{left({varPsi}_i^{mathrm{cal}}-{varPsi}_i^{exp}right)}^2+{left({varDelta}_i^{mathrm{cal}}-{varDelta}_i^{exp}right)}^2right]}} (1).
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Our findings show firstly that introducing a prioritization system improved the impact of cataract procedures by minimizing waiting time in patients according to their level of need and secondly that the benefit of applying the prioritization system varied substantially, depending on the specific characteristics of each region's local health system.
The controller parameters are calculated either by solving a correlation equation (decorrelation procedure) or by minimizing a cross-correlation function (correlation reduction).
We have exploited these strengths to pursue a simple variational procedure for filter design by minimizing a cost function over the relevant control space.
Robotic-assisted surgery is a type of minimally invasive surgery that uses technology to give surgeons greater control, access and accuracy during the surgical procedure while benefitting patients by minimizing trauma and scarring, enabling accelerated post-surgical healing.
A least-squares estimation of nonlinear parameters can be done by minimizing procedure using the following relations: left{begin{array}{l} T=frac{{left 1- Rright)}^2}{e^{alpha d}-{R}^2{e}^{-alpha d}}; R=1-frac{4{n}_0{left}{nleft({n}_0+{n}_1right)}^2+{k=frac{alphac{aleft lambdaambda, Eright)}{4pi lambda}.end{array}right.
The best subset selection is a combinatorial procedure which evaluates all subsets by minimizing some selection criterion like the BIC.
This not only increases patient's comfort during the mapping procedure, but also increases safety by minimizing the risk of collision with the device by uncontrolled patient movements, for example, associated with seizures.
All MOO procedures developed within NIMOO have been compared with the accuracy of an ODE model developed by minimizing ESQE, a procedure that we called single-objective optimization.
The inversion is accomplished through a two-stage grid search procedure which selects the source model by minimizing a normalized weighted sum of first motion polarity discrepancies.
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