Sentence examples for step distribution from inspiring English sources

Graded refractive index and step distribution of carrier concentration of Cu2O N/CuO N thin films reduce optical reflectance and build high potential into optical absorbing thin film.

The case of a two finite step distribution, the finite Poison mixture regression model of Wang et al.'s ([1996]) results.

The control of the atomic step distribution of clusters and nanostructures is of utmost importance in determining, among others, their magnetic [1], electrical, and catalytic properties.

Wind pressure distributions are assumed as non-axisymmetric in the circumferential direction and with a rectangular impulse or step distribution in time.

Depending on the required accuracy, two different idealizations of temperature distributions are analyzed in this paper, namely linear distribution from zone modeling and piece-wise step distribution from field modeling in the longitudinal direction.

Spatial adaptation consists of dynamic order increment or decrement on a fixed tessellation of the domain, while a combination of coarsening and refinement is used to provide an efficient time step distribution.

Discrete Poisson mixtures with finite step distributions for the Poisson parameter θ have also been proposed, the interest being on creating clusters of data by grouping the observations on Y according to some criterion (cluster analysis).

For the {0, 1, 2} scale, no skewed distribution was defined, but two different step distributions were used.

SCION Cy5.5) and SCION(Alexa555) bleaching step distributions were well fit by this function, resulting in lower chi squared values than the single Poisson fits (Eq. (1), Figs. 2b,c).

Giving in to it, the big three have spent the past two years trying to make their three-step distribution model — manufacturer to distributor to reseller to customer — work as efficiently as the one-step model that Dell uses.

This paper introduces a new algorithm named Elitist Stepped Distribution Algorithm (ESDA), which is inspired from the existing Cross Entropy Method (CEM) through the modification of elite sample based normal distribution used in CEM.