introduction: ketamine is an agent used broadly for pediatric procedural sedation and analgesia in emergency departments. it has been found to be safe and with a low risk of complications. as choosing between intravenous (iv) and intramuscular (im) injections is a matter of concern, we did comparison between two methods in terms of their efficacy and the rate of complications. methods: this sin...

In the current study we investigate the two-stage iterative method for solving linear systems. Our new results shows which splitting generates convergence fast in iterative methods. Finally, we solve the Poisson-Block tridiagonal matrix from Poisson's equation which arises in mechanical engineering and theoretical physics. Numerical computations are presented based on a particular linear system...

We consider a family of symmetric matrices Aω = A0 +ωB, with a nonnegative definite matrix A0, a positive definite matrix B, and a nonnegative parameter ω ≤ 1. Small ω leads to a poor conditioned matrix Aω with jumps in the coefficients. For solving linear algebraic equations with the matrix Aω, we use standard preconditioned iterative methods with the matrix B as a preconditioner. We show that...

Background and Aims: Infectious mononucleosis (IM)is the clinical manifestation of primary infection with Epstein-Barr virus (EBV). Humans are the only known reservoir of EBV. Regarding the problems in diagnosis of the disease, the purpose of this study was to assess Enzyme-linked immunosorbent assay (ELISA) and Nested polymerase chain reaction (PCR) as a diagnostic tool for this disease. Mate...

Recently, a new treatment based on Taylor’s expansion to give the estimate of the convergence radius of iterative method for multiple roots has been presented. It has been successfully applied to enlarge the convergence radius of themodified Newton’s method and Osada’s method for multiple roots. This paper re-investigates the convergence radius of Halley’s method under the condition that the de...

We consider a family of symmetric matrices A! = A 0 + !B; with a nonnegative deenite matrix A 0 ; a positive deenite matrix B; and a nonnegative parameter ! 1: Small ! leads to a poor conditioned matrix A! with jumps in the coeecients. For solving linear algebraic equations with the matrix A!; we use standard preconditioned iterative methods with the matrix B as a preconditioner. We show that a...

In this paper, we have proposed a new iterative method for finding the solution of ordinary differential equations of the first order. In this method we have extended the idea of variational iteration method by changing the general Lagrange multiplier which is defined in the context of the variational iteration method.This causes the convergent rate of the method increased compared with the var...

in this paper, an iterative method is proposed for solving matrix equation $sum_{j=1}^s a_jx_jb_j = e$. this method is based on the global least squares (gl-lsqr) method for solving the linear system of equations with the multiple right hand sides. for applying the gl-lsqr algorithm to solve the above matrix equation, a new linear operator, its adjoint and a new inner product are de ned. it is ...

A simple equilibrium restriction identifies time-varying components of expected returns. Using data from the Fama and French threeand fivefactor models and momentum, we use this restriction to predict factor returns out of sample. We derive a policy for timing exposures to these components and find the modified portfolio generates returns with higher out-of-sample Sharpe ratios than the underly...