global health 2035, the report of the lancet commission on investing in health, laid out a bold, highly ambitious framework for making rapid progress in improving global public health outcomes. it showed that with the right health investments, the international community could achieve a “grand convergence” in global health—a reduction in avertable infectious, maternal, and child deaths down to ...

in this paper‎, ‎we study convergence behavior of the global fom (gl-fom) and global gmres (gl-gmres) methods for solving the matrix equation $axb=c$ where $a$ and $b$ are symmetric positive definite (spd)‎. ‎we present some new theoretical results of these methods such as computable exact expressions and upper bounds for the norm of the error and residual‎. ‎in particular‎, ‎the obtained upper...

Global Health 2035, the report of The Lancet Commission on Investing in Health, laid out a bold, highly ambitious framework for making rapid progress in improving global public health outcomes. It showed that with the right health investments, the international community could achieve a “grand convergence” in global health—a reduction in avertable infectious, maternal, and child deaths down to ...

The grand challenge in global health is the inequality in mortality and life expectancy between countries and within countries. According to Global Health 2035, the Lancet Commission celebrating the 20th anniversary of the World Development Report (WDR) of 1993, the world now has the unique opportunity to achieve a grand convergence in global mortality within a generation. This article comments...

In this paper‎, ‎we study convergence behavior of the global FOM (Gl-FOM) and global GMRES (Gl-GMRES) methods for solving the matrix equation $AXB=C$ where $A$ and $B$ are symmetric positive definite (SPD)‎. ‎We present some new theoretical results of these methods such as computable exact expressions and upper bounds for the norm of the error and residual‎. ‎In particular‎, ‎the obtained upper...

a new approach utilizing newton method and homotopy analysis method (ham) is proposed for solving nonlinear system of equations. accelerating the rate of convergence of ham, and obtaining a global quadratic rate of convergence are the main purposes of this approach. the numerical results demonstrate the efficiency and the performance of proposed approach. the comparison with conventional homoto...

Here, a quasi-Newton algorithm for constrained multiobjective optimization is proposed. Under suitable assumptions, global convergence of the algorithm is established.