Error reduction, convergence and optimality are analyzed for adaptive mixed finite element methods (AMFEM) for diffusion equations without marking the oscillation of data. Firstly, the quasi-error, i.e. the sum of the stress variable error and the scaled error estimator, is shown to reduce with a fixed factor between two successive adaptive loops, up to an oscillation. Secondly, the convergence...

today, through out the world, medical education has two critical needs: need for structural reform and innovative plans and then need for social accountability in terms of educational program quality and its effectiveness. educational assessment and accreditation could be considered as operational (executive) strategy to meet both needs. of outmost important as the first toward educational asse...

in today's world, quality improvement of basic medical education is a must for training physicians who are able to meet the growing health needs of our society. one way for quality assurance in higher education including medical education is to develop a system of accreditation which has been in medical education authorities' constant focus recently. this article is a review of national accredi...

An adaptive mixed finite element method (AMFEM) is designed to guarantee an error reduction, also known as saturation property: after each refinement step, the error for the fine mesh is strictly smaller than the error for the coarse mesh up to oscillation terms. This error reduction property is established here for the Raviart–Thomas finite element method with a reduction factor ρ < 1 uniforml...