We consider the problem of efficiently estimating size join a collection preprocessed relational tables from perspective instance optimality analysis. The running time optimal algorithms is comparable to minimum needed verify correctness solution. Previously, were only known when was small (as one component their linear in size). give an algorithm for all instances, including large, by removing...

The statistical analysis of spatial data is usually done under Gaussian assumption for the underlying random field model. When this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data. One of the crucial problems in this setting is specifying the block sizes. In this paper, we present asymptotic optimal block size for separate block bootstrap to estimate the...

‎in this paper‎, ‎we consider the optimal asset control of a financial company which can control its liquid reserves by paying dividends and by issuing new equity‎. ‎we assume that the liquid surplus of the company in the absence of control is modeled by the diffusion model‎. ‎it is a hot topic to maximize the expected present value of dividends payout minus equity issuance until the time of ba...

Objective(s): Response surface methodology (RSM) by central composite design (CCD) was applied to statistically optimize the preparation of Rutin-Quercetin (Ru-Qr) dual drug loaded human hair keratin nanoparticles as well as evaluate the characteristics. Materials and Methods: The effects of three independent parameters, namely, temperature (X1:10-40 C), surfactant (X2: SDS (1), SLS (2), Tween-...

Computer-aided design of modern robotic manufacturing cells involves solution of a number of complicated optimization problems that are related to equipment selection, scheduling, routing and path planning. The paper deals with three of them: optimal selection of robotic tools, optimal clustering of welding dots among robots, and optimal layout design. A number of efficient genetic algorithms a...

Optimal distribution substation placement is one of the major components of optimal distribution system planning projects. In this paper optimal substation placement problem is solved using Imperialist Competitive Algorithm (ICA) as a new developed heuristic optimization algorithm. This procedure gives the optimal size, site and installation time of medium voltage substation, using their relate...