Inverse problems are ubiquitous in nature, arising almost all areas of science and engineering ranging from geophysics climate to astrophysics biomechanics. One the central challenges solving inverse is tackling their ill-posed nature. Bayesian inference provides a principled approach for overcoming this by formulating problem into statistical framework. However, it challenging apply when infer...

approximating the solution of differential equations of fractional order is necessary because fractional differential equations have extensively been used in physics, chemistry as well as engineering fields. in this paper with central difference approximation and newton cots integration formula, we have found approximate solution for a class of boundary value problems of fractional order. three...

Various image processing algorithms can be related to physical models described by partial diierential equations. The traditional way for their numerical solution are nite diierences and nite elements. However, the application of methods from multidimensional systems theory and digital signal processing opens new ways for the eecient simulation of time and space dependent problems like wave pro...

background and purpose: nosocomial infection is a threat to patient safety. in this study, we aimed to investigate the effect of alcohol-based handrub solutions recommended by the world health organization on skin integrity of health care providers. methods: this experimental study was carried out on 40 healthcare personnel of 17 shahrivar hospital, amol, iran, in 2016. the subjects were select...

fuzzy liner systems of equations, play a major role in several applications in various area such as engineering, physics and economics. in this paper, we investigate the existence of a minimal solution of inconsistent fuzzy matrix equation. also some numerical examples are considered.

  We relax some assumptions of the traditional scheduling problem and suggest an adapted meta-heuristic algorithm to optimize efficient utilization of resources and quick response to demands simultaneously. We intend to bridge the existing gap between theory and real industrial scheduling assumptions (e.g., hot metal rolling industry, chemical and pharmaceutical industries). We adapt and evalua...