Sentence examples for computationally robust from inspiring English sources
he algorithm is computationally robust and an influence of local surface imperfections can be easily reduced by use of a criterion for residuals.
In principle, the choice for appropriate techniques should follow the two criteria below: (1) the adopted technique should be able to effectively reflect the critical design changes for the vibro-acoustic performance of the product, and (2) the predicting procedure should be computationally robust and efficient.
The goal was to include a comprehensive and minimally redundant representation of the bacteria that regularly reside in the human oral cavity with computationally robust classification at the level of species and genus.
The intent was to include a comprehensive, minimally redundant representation of the bacteria that regularly reside in the human oral cavity with computationally robust classification at the level of species and genus.
These adjustments resulted in a computationally robust algorithm with small or no bias (as presented in Results).
Nonetheless, a great need exists to develop, both conceptually and computationally, robust algorithms and advanced analytical methods for characterizing genetic variations that are non-redundant.
Therefore, it is necessary to find a less computationally expensive robust method.
This computationally simple robust estimator is only applicable when the entries of the feature vectors are assumed to be independent of each other.
The control and estimation algorithms are designed to operate with low-cost sensors, be computationally efficient, robust and easily adaptable from flight test data.
The search for computationally efficient, robust, and easy to use numerical and analytical techniques for solving nonlinear equations is therefore of great interest to researchers in engineering and science.
In this paper, we compare three estimators, i.e. the sample covariance, Huber's M-estimator and a computationally simple robust covariance estimator based on the median absolute deviation (MAD).
