Sentence examples for design and stochastic from inspiring English sources

The presented work focus on the investigation of the Lüders' bands (hereafter referred to as LB) phenomenon in the computer environment by means of experimental design and stochastic modeling.

We review not only the structural design and stochastic kinetics of individual single motors, but also their coordination, cooperation and competition as well as the assembly of multi-module motors in various intracellular kinetic processes.

In addition, based on the orthogonal experimental design and stochastic perturbation techniques, an elitist learning strategy module is introduced in the proposed algorithm to enhance the search efficiency of swarms and to mitigate premature convergence.

The geometrical features of LB originated after varying the input parameters, important in experimental design and stochastic modeling, have been evaluated with instruments for mechanical 3D measurement (Form Talysurf Series 2) as well as for optical 3D digitalization (ZKM 01-250C).

The aleatory uncertainty is of two types: Variable aleatory uncertainty is modeled by use of stochastic variables that influence the problem, including both design variables and stochastic parameters.

The proposed ADP algorithm relies on an efficient value function approximation (VFA) architecture that we design and a stochastic gradient learning strategy to function, enabling each femtocell to learn and improve its own channel allocation policy.

The analytic formulas provide a theoretical framework for calculations in robust estimation, robust regression, outlier detection, design of experiments, and stochastic extensions of deterministic elliptical curves results.

She specializes in hydrological modeling and design, stochastic simulation, and hydrological frequency analysis.

Computer simulation is a powerful evaluative tool for the design and configuration of stochastic systems.

Yao's research interests focus on the analysis, design and control of stochastic systems random systems that do not follow a pattern, such as manufacturing systems, supply chains and communication networks.

The goal of this work is: (a) to compare demographies of the two sets of populations; (b) to design and calibrate a stochastic demographic model on the basis of available data; (c) to use it to assess the risk of extinction under different management alternatives; (d) to test some of the most credited hypotheses on the grey partridge decline.