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Numerical results demonstrate that the robust model can lead to more reliable design compared to the nominal plan.
Numerical examples demonstrate that the robust solutions of the continuous network design are more reliable than the deterministic solutions.
Finally, the Monte Carlo simulation results are provided to demonstrate that the robust orbit solutions are more reliable compared to the nominal orbit solution designed from the traditional single-objective stochastic optimization algorithm.
Meanwhile, we compared the robust model presented with the stochastic model and numerical examples demonstrate that the robust planning network is more reliable and less risky than the stochastic model if demand uncertainty is considered in modeling.
We demonstrate that the robust behavior of this biosensor allows for rapid analysis of TCR mediated of ZAP-70 kinase activity at a single cell level, as shown in a simple end point assay in which ROZA-XL expressing cells are allowed to interact with stimulatory anti-CD3epsilon coated coverslips.
In the present study, we demonstrate that the robust response observed in infants is not due to differences in vaccine regimen or vaccine dose between adults and infants.
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The result is reassuring in that it demonstrates that the robust design procedure is well defined and that its optimal global solution can be determined without concerns about local minima.
It is also demonstrated that the robust, highly-dense compacts so obtained have a uniform green microstructure without macro-defects or gradient density, and which can be fully densified by pressureless sintering.
So this example clearly demonstrates that the robust good-deal hedging strategy (bar {phi }) is in general very different from a super-replicating strategy under volatility uncertainty for the set (mathcal {P}_{[underline {a},overline {a}]}) of reference priors.
The results demonstrate that the proposed robust VO achieves more accurate and more stable localization than the state-of-the-art robust VO or SLAM approaches in dynamic environments.
The results also demonstrate that the proposed robust model outperforms the deterministic model in terms of the average and standard deviation measures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com