magnetohydrodynamic (mhd) mixed convection flow of cu–water nanofluid inside a two-sided lid-driven square enclosure with adiabatic horizontal walls and differentially heated sidewalls has been investigated numerically. the effects of moving lids direction, variations of richardson number, hartmann number, and volume fraction of nanoparticles on flow and temperature fields have been studied. th...

We give a new interpretation of the shifted Littlewood-Richardson coefficients $f_{\lambda\mu}^\nu$ ($\lambda,\mu,\nu$ are strict partitions). The $g_{\lambda\mu}$ which appear in decomposition Schur $Q$-function $Q_\lambda$ into sum functions $Q_\lambda = 2^{l(\lambda)}\sum_{\mu}g_{\lambda\mu}s_\mu$ can be considered as special case (here $\lambda$ is partition length $l(\lambda)$). also anoth...

This appendix outlines some of the more prevalent techniques for controlling and for detecting common method bias. These include (1) Harman’s single factor test (Podsakoff et al. 2003), (2) partial correlation technique (Podsakoff et al. 2003), (3) multitrait–multimethod (MMTM) (Shadish et al. 2002), (4) the correlation marker technique, (5) confirmatory factor analysis (CFA) marker technique (...

The classical Littlewood-Richardson rule is a rule for computing coefficients in many areas, and comes in many guises. In this paper we prove two Littlewood-Richardson rules for symmetric skew quasisymmetric Schur functions that are analogous to the famed version of the classical Littlewood-Richardson rule involving Yamanouchi words. Furthermore, both our rules contain this classical Littlewood...

Mackie, C., Richardson, M. C. & Schulster, D. (1972) FEES Left. 23, 345-348 McIlhinney, R. A. J. & Schulster, D. (1973) J. Endocrinol. 59, 26-27 McIlhinney, R. A. J. & Schulster, D. (1974) Endocrinology 94, 1259-1264 Pegg, A. E. & Williams-Ashman, H. G. (1968) Biochem. J. 108, 533-539 Richardson, M. C. & Schulster, D. (1970) Biochem. J. 120, 2 5 ~ Richardson, M. C. & Schulster, D. (1972) J. End...

The effect of radiation on laminar and turbulent mixed convection heat transfer of a semitransparent medium in a square enclosure was studied numerically using the Finite Volume Method. A structured mesh and the SIMPLE algorithm were utilized to model the governing equations. Turbulence and radiation were modeled with the RNG k-ε model and Discrete Ordinates (DO) model, respectively. For Richar...

The main contribution of this paper is the introduction of a framework for estimation of multiple unknown blurs as well as their respective supports. Specifically, the Biggs-Andrews (B-A) multichannel iterative blind deconvolution (IBD) algorithm is modified to include the blur support estimation module and the asymmetry factor for the Richardson-Lucy (R-L) update based IBD algorithm is calcula...

Richardson Extrapolation is a powerful computational tool which can successfully be used in the efforts to improve the accuracy of the approximate solutions of systems of ordinary differential equations (ODEs) obtained by different numerical methods (including here combined numerical methods consisting of appropriately chosen splitting procedures and classical numerical methods). Some stability...

Article history: Received 21 June 2012 Received in revised form 7 June 2015 Accepted 23 July 2015 Available online xxxx Communicated by Roman Bezrukavnikov

We present a polynomiality property of the Littlewood-Richardson coefficients c λμ . The coefficients are shown to be given by polynomials in λ, μ and ν on the cones of the chamber complex of a vector partition function. We give bounds on the degree of the polynomials depending on the maximum allowed number of parts of the partitions λ, μ and ν. We first express the Littlewood-Richardson coeffi...