Sentence examples for described by random from inspiring English sources
The effect of uncertain material properties as well as the crack tip initialization, described by random variables is also examined.
For discrete-time linear systems subject to multiplicative disturbance described by random variables, we develop a sampling-based Stochastic Model Predictive Control algorithm.
This paper presents a non-sample-based probabilistic approach to determine the parameters in a vibration absorber when the main system is described by random variables.
Time-variant reliability analysis aims at revealing the time evolution of the reliability of an engineered system under time-dependent uncertainties that are best described by random processes.
Once the coefficients are estimated the travel time distribution can be fully described by random generation of a large number of samples.
A general method for estimating the bounds of the reliability of a system in which the input variables are described by random sets (probability distributions, probability boxes, or possibility distributions), with dependence modeling is proposed.
This paper shows that when the cation distribution can be described by a random mixing model (the random alloy model) the resulting demixing analysis for the composition profiles can be greatly simplified, and made exact, by making use of the random alloy sum-rule.
However, GC content did explain a significant amount of the deviance (F = 23.12, p<0.0001; Table 1B) in the fraction of ORFs described by the random distribution such that the fraction of random ORFs decreases with increasing GC content (Fig. 3d).
Depending on this model, the data are described by a random variable X, which can be viewed as the product of the independent random variables U and V, that is X = U ⋅ V, where U models the properties of the imaged area (backscatter), and V models the multiplicative noise (speckle) introduced by the use of coherent illumination, which degrades the image quality.
While it is not surprising that the k values of the KF solution are close to that of a random walk, also the results from LSM indicate that the tropospheric delays can be better described by a random walk than using turbulence theory (k=−2/3).
