In this article a new method for yield optimization (design centring) is introduced. The method has a statistical-geometrical nature, hence it is called hybrid. The method exploits the semi-definite programming applications in approximating the feasible region with two bounding ellipsoids. These ellipsoids are obtained using a two phase algorithm. In the first phase, the minimum volume ellipsoid enclosing the feasible region is obtained. The largest ellipsoid that can be inscribed inside the feasible region is obtained in the second phase. The centres of these bounding ellipsoids are used as design centres. In the second phase, an additional polytopic region approximation is constructed. A comparison between the obtained region approximations is given. Saving in the number of circuit simulations needed for yield optimization is also considered. Practical examples are given to show the effectiveness of the new method.
Aquatic plants can be useful in removing various contaminants from contaminated waters, since they can sorb large amounts of heavy metals and oil spill. To investigate the effects of different particle sizes of biosorbent on the metal biosorption and oil spill capacities, dried biomass of Salvinia natans selected as aquatic plant which found a lot in astrakhan city. From the results we concluded that, the metal biosorption capacity increased with decreasing of particle size, while in the case oil spill, capacities of removing of spill increase with increasing particle sizes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.