The aim of this paper is to improve the convergence rate of frame algorithm based on Richardson iteration and Chebyshev methods. Based on Richardson iteration method, we first square the existing convergence rate of frame algorithm which in turn the number of iterations would be bisected and increased speed of convergence is achieved. Afterward, by using Chebyshev polynomials, we improve this s...

Background & Aims: Nocardia are gram-positive, aerobic, relative acid-fast, and opportunistic bacteria, and one of the causes of systematic infection around the world. The natural habitats of these bacteria are soil and dust. Hospitalized patients with immune deficiency are at high risk of transmission of opportunistic infection. Due to these facts and the complexities that exist in the isolati...

Background: The evidence base for childbirth has been progressively developed and refined over several decades. Effective maternity care with least harm is optimal for childbearing women and newborns. High-quality systematic reviews of the best available research provide the most trustworthy knowledge about beneficial and harmful effects of health interventions. The aim of this study was to sum...

In spite of sonic pessimistic attitudes towards methodology of economics, it has succeeded as a central theme in numerous books, refereed journals, international conferences and symposiums whose volume is increasing at an unprecedented rate. The proliferation of methodological literature also is accompanied by a proliferation of issues that concern: the goals of economics, realism of economics,...

it is well known that if the coefficient matrix in a linear system is large and sparse or sometimes not readily available, then iterative solvers may become the only choice. the block solvers are an attractive class of iterative solvers for solving linear systems with multiple right-hand sides. in general, the block solvers are more suitable for dense systems with preconditioner. in this paper,...

we focus on the use of two stable and accurate explicit finite difference schemes in order to approximate the solution of stochastic partial differential equations of it¨o type, in particular, parabolic equations. the main properties of these deterministic difference methods, i.e., convergence, consistency, and stability, are separately developed for the stochastic cases.