We introduce a new iterative scheme for nding a common elementof the solutions set of a generalized mixed equilibrium problem and the xedpoints set of an innitely countable family of nonexpansive mappings in a Banachspace setting. Strong convergence theorems of the proposed iterative scheme arealso established by the generalized projection method. Our results generalize thecorresponding results...

  Introduction: Monte Carlo (MC) is the most common method for simulating virtual SPECT projections. It is useful for optimizing procedures, evaluating correction algorithms and more recently image reconstruction as a forward projector in iterative algorithms; however, the main drawback of MC is its long run time. We introduced a model based method considering the eff...

In this paper, we propose a new seed projection method for solving shifted systems with multiple right-hand sides. This seed projection method uses a seed selection strategy. Numerical experiments are presented to show the efficiency of the newly method. Keywords—shifted systems, multiple right-hand sides, seed projection.

A numerical method for the solution of the two-dimensional Euler equations for incompressible ow on locally reened grids is presented. The method is a second order Godunov-projection method adapted from Bell, Colella, and Glaz. Second order accuracy of the numerical method in time and space is established through numerical experiments. The main contributions of this work concern the formulation...

In the original random-dot stereograms (RDSs) invented by Julesz, binocular disparity could only take on values that were integral multiples of dot width. The other common method for constructing RDSs (the projection method) relaxes this restriction. However, the projection method can introduce dot-density cues into the monocular images. When polar projection is employed, density variation is i...

The projection method is a useful tool for analyzing various properties of multivariate refinable function vectors and for obtaining low-dimensional refinable function vectors and wavelets from high-dimensional ones. In this paper, we shall further study the projection method and its applications to multivariate wavelet and framelet systems. Examples will be given to illustrate the projection m...

Data Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units (DMU). Evaluating the efficiency of DMUs which have two or several stages by using the conventional DEA models, is equal to consider them as black box. This method, omits the effect of intermediate measure on efficiency. Therefore, just the first network inputs and t...