The phrase "are extremely robust to" is correct and usable in written English.
It can be used to describe the resilience or strength of a system, method, or approach in the face of challenges or variations.
Example: "The algorithms we developed are extremely robust to changes in input data, ensuring consistent performance."
Alternatives: "are highly resilient to" or "are very resistant to".
The parallel scheme is extremely robust to measurement noise and possesses a simpler, yet more solid, fault isolation logic.
While the series-parallel structure possesses fast convergence, the parallel scheme is extremely robust to measurement noise.
The combination with a maximum likelihood identification approach yields a solver that is extremely robust to errors in the data, such as noise and leakage and hence results in accurate models.
In the following we show how this happens, proving further that the result is extremely robust to errors, and that cooperating populations are able to withstand fierce invasion attempts from cheaters.
However, the results of the Bayesian dating were extremely robust to the value specified for this parameter.
More precisely, the code structure in Fig. 1 is extremely robust to translational errors irrespective of the assignments of the UUN or AGN supercodons.
First, the auxin pattern generated under the reverse fountain mechanism is extremely robust to the parameters variation whereas in our simulations are sensitive to changes in parameters value [Additional files 7; 8].
A random-effects Bayesian model selection approach has been suggested for group studies, as this is capable of quantifying the degree of heterogeneity in a population, while being extremely robust to potential outliers (Stephan et al., 2009).
Loosening of the p-value threshold was possible, because the top three eigensystems were extremely robust to the change of the p-value threshold, with eigenarrays correlations > 0.999 between vectors of length 2786 for the change of the threshold from 0.05 to 0.5 (data not shown).
