Sentence examples for use of the sequential from inspiring English sources
Since both the proposed algorithms make use of the sequential minimum MSE estimation, they monotonically decrease the MSE of the estimation and converge to a stationary point.
Utility estimation relies on forming particle approximations to a number of intractable integrals which is afforded by the use of the sequential Monte Carlo algorithm for Bayesian inference.
It can be seen clearly that the use of the sequential estimation algorithm enhances the performance significantly, even if only a single LOS path is considered by the estimation algorithm.
The use of the sequential structure of the problem provides substantial help to reduce the curse of dimensionality in simulations, and SAMC effectively prevents the system from getting trapped in local energy minima.
In this paper, we propose a new phylogenetic tree construction method, which attempts to alleviate these two difficulties simultaneously by making use of the sequential structure of phylogenetic trees in conjunction with stochastic approximation Monte Carlo (SAMC) simulations.
The predictions were based on a semi-automatic hydrologic calibration approach for large-scale and spatially detailed modeling studies, with the use of the Sequential Uncertainty Fitting algorithm (SUFI-2) and the SWAT-CUP interface, followed by a manual water quality calibration on a monthly basis.
In the present work, we investigated the use of both the sequential and the parallel strategy as well as the effect of the number of NGC (new generating candidates) in the optimization performance.
A two-way ANOVA with replication was used for the sequential analysis of data.
In this section examples of use of the DLL in the sequential and non-sequential mode of Zemax®; are given.
The paper illustrates and compares the use of sequential Kalman Filter and sequential Particle Filter State Observer on these water management problems.
The supplied software uses a variant of the "sequential least-squares" algorithm [ 24, 25] for solving the non-convex optimization problem in eq. 14.
