Sentence examples for use of a stochastic from inspiring English sources

In " A diverse stochastic search algorithm for combination therapeutics," M. U. Caglar and R. Pal show how the use of a stochastic search algorithm can be useful in identification of optimal combinations of drugs for therapy, the so-called drug cocktails.

Therefore, in this paper we propose the use of a stochastic model as an alternative to simulation for the design and performance evaluation of such applications.

This paper explores the use of a stochastic approach to the design of stiffened composite panels for which typical applications can be found in composite ship structures.

The use of a stochastic method for the heat exchanger network aspect introduces noise in the evaluation of the objective function used by the local search methods.

This article shows the use of a stochastic simulation method to study the effects of the cytoskeleton structure on the mobility of macromolecules.

Use of a stochastic optimization algorithm, Tabu search, provided several carbohydrate excipient candidates with statistically similar property values, as indicated by prediction intervals calculated for each property.

This is achieved through the use of a retrodictive stochastic simulation algorithm which complements the usual predictive stochastic simulation approach.

The measurements were made with the use of a factor stochastic volatility model; therefore, direct comparison to our benchmark model is troublesome.

As our current model for malaria transmission in mosquitoes 1 does not include the malaria cycle in humans, we use the results of a stochastic simulation model 11 to incorporate these effects at equilibrium.

In this paper, the use of a data-driven stochastic subspace approach, specifically conceived to eliminate, as much as possible, analyst's arbitrariness and to deal with the non-whiteness of the wind excitation, is proposed for system identification.

The benefit of using a stochastic SIR model is that transmission parameters can be estimated using statistical modelling; here the conventional stochastic SIR model was extended by explicitly allowing for cohort variation and unobserved temporal effects.