Sentence examples for spatial differentials of from inspiring English sources

In this paper, a simplified dynamic model of liquid desiccant dehumidifier is proposed from a control point of view based on the heat and mass transfer principles, where the spatial differentials of fluid properties are approximated by discretization and dynamic interaction along the flow direction.

To identify the causes behind the emergence of such spatial differentials, a comparative analysis of regions with extremities in their performance of demographic characteristics can give us a better insight.

This is the first study that shows the existence of spatial differentials in care need and the linkages of these differentials to the socioeconomic structure and performance of the county.

The outlined approach exploits the synergy of two specific ingredients: the MPDATA methods for the simulation of fluid flows based on the sign-preserving properties of upstream differencing; and the flexible finite-volume median-dual unstructured-mesh discretisation of the spatial differential operators comprising PDEs of atmospheric dynamics.

Strikes of magnetic boundaries were determined for each survey line based on variation patterns of both vertical and horizontal components and the intensity of spatial differential vectors (ISDV) (Seama et al.1993).1993

Implicit update equation of FADI-FDTD, c.f. Eq. (28) has much lesser spatial differential operators than that of conventional ADI-FDTD, c.f. Eq. (15).

Using Lyapunov׳s direct method, the problem of exponential synchronization of the complex spatio-temporal network is formulated as the feasibility problem of spatial differential linear matrix inequality (SDLMI) in space.

Based on an integral-type stochastic Lyapunov functional (ISLF), the sufficient condition of robustly stochastically exponential stability with a given decay rate is first derived in terms of spatial differential linear matrix inequalities (SDLMIs).

It is shown that given the nature of its spatial differential operator the problem can be solved by the singular value decomposition (SVD) of the real bidiagonal matrix resulting from a previous ad hoc Householder reduction of the operator matrix image.

The former offsets the artificial diffusion due to 'upwinding' of the spatial differential operator and lends itself to an upwind-biased flux limiting.

Under the assumption that the eigenspectrum of the spatial differential operator can be partitioned into a finite slow set and an infinite stable fast complement, Galerkin's method is initially used to derive a finite-dimensional system (set of ordinary differential equations (ODEs) in time) that captures the dominant dynamics of the PDE system.