In this paper, the problem of unsteady mixed convection boundary layer flow of a viscous incompressible fluid near the stagnation-point on a vertical permeable plate with both cases of prescribed wall temperature and prescribed wall heat flux is investigated numerically. Here, both assisting and opposing buoyancy forces are considered and studied. The non-linear coupled partial differential equ...

the effect of sds (0.03-0.07 m) and brij-35(0-0.003 m) concentrations and temperature on retention parameters of 30 solutes in micellar reversed- phase liquid chromatography systems were studied using solvation parameter model. the system constants were determined by multiple linear regression analysis from experimental values of the retention factors with known descriptors by computer using th...

Abstract We introduce and analyze a stress-based formulation for Zener’s model in linear viscoelasticity. The method is aimed to tackle efficiently heterogeneous materials that admit purely elastic viscoelastic parts their composition.We write the mixed variational of problem terms class tensorial wave equation obtain an energy estimate guaranties well-posedness through standard Galerkin proced...

Nominal variables include unordered polytomous variables and permutations. An unordered polytomous response is one among a set of categories whereas a permutation is an ordering of categories. The categories are nominal in the sense that they do not possess an inherent ordering shared by all units as is assumed for ordinal variables. Using decision terminology, we will refer to the categories a...

The paper by Austin et al. refers repeatedly to generalized linear mixed models, or GLMMs. Example. Suppose we are doing a simple observational study. We observe some species of animal. N animals are selected at random and tracked. They may be observed visually, or by some sort of attached sensor. The position is recorded at short regular intervals. Say, once a minute. The variable of interest ...

Sparse linear algebra algorithms, and especially algorithms for the iterative solution of sparse lineary systems, lie at the heart of many scientific computing applications, ranging from computational fluid dynamics to structural engineering and electromagnetic analysis. Their efficient implementation is thus a very important challenge for the numerical software community. The current trend in ...