in this paper, the combined effect of suspended (fine dust) particles and rotation on the onset of thermosolutal convection in an elastico-viscous fluid in a porous medium is studied. for the porous medium, the brinkman model is employed and rivlin-ericksen model is used to characterize viscoelastic fluid. by applying normal mode analysis method, the dispersion relation has been derived and sol...

Reconstruction from few views is an important problem in medical imaging and applied mathematics. In this paper, a combined energy minimization is proposed for image reconstruction. l2 energy of the image gradient is introduced in the lower density region, and it can accelerate the reconstruction speed and improve the results. Total variation of the image is introduced in the higher density reg...

the purpose of this reseach was to examine the influence of resin consumption gradient and press time on the physical and mechanical properties of particleboard produced from citrus tree residues. four resin consumption gradients; 0, 2, 4 and 6% difference between surface and core layers (10-10%, 11-9%, 12-8% and 13-7%) and two press times of 4 and 5 minutes were applied and totally 24 laborato...

Nonlinear conjugate gradient method is well known in solving large-scale unconstrained optimization problems due to it’s low storage requirement and simple to implement. Research activities on it’s application to handle higher dimensional systems of nonlinear equations are just beginning. This paper presents a Threeterm Conjugate Gradient algorithm for solving Large-Scale systems of nonlinear e...

We apply the holonomic gradient method to compute the distribution function of a weighted sum of independent noncentral chi-square random variables. It is the distribution function of the squared length of a multivariate normal random vector. We treat this distribution as an integral of the normalizing constant of the Fisher-Bingham distribution on the unit sphere and make use of the partial di...

We introduce a numerical method for fully nonlinear, three-dimensional water surface waves, described by standard potential theory. The method is based on a transformation of the dynamic water volume onto a xed domain. Regridding at each time step is thereby avoided. The transformation introduces an elliptic boundary value problem which is solved by a preconditioned conjugate gradient method. M...

Simple and efficient modifications of the original error-diffusion algorithm are proposed to remove the structural artifact and enhance the real structures. The input image is separated into the flatten and detailed areas based on a gradient-based measure. While a randomization is applied to remove the structural artifact in the flatten area, a gradient-based diffusion modulation is applied to ...

The BSP model (Bulk Synchronous Parallel) provides a framework which permits the performance of a parallel algorithm to be predicted in a precise way. In this work we aim to analyse the main aspects of the BSP model studing three parallel preconditioners for the Preconditioned Conjugate Gradient Method. We also report the experimental results obtained on a IBM SP2. These results seem to lead to...

In theory, the successive gradients generated by the conjugate gradient method applied to a quadratic should be orthogonal. However, for some ill-conditioned problems, orthogonality is quickly lost due to rounding errors, and convergence is much slower than expected. A limited memory version of the nonlinear conjugate gradient method is developed. The memory is used to both detect the loss of o...

In this paper, we consider a class of finite-sum convex optimization problems whose objective function is given by the summation of m (≥ 1) smooth components together with some other relatively simple terms. We first introduce a deterministic primal-dual gradient (PDG) method that can achieve the optimal black-box iteration complexity for solving these composite optimization problems using a pr...