here‎, ‎we aim to develop a new algorithm for solving a multiobjective linear programming problem‎. ‎the algorithm is to obtain a solution which approximately meets the decision maker's preferences‎. ‎it is proved that the proposed algorithm always converges to a weak efficient solution and at times converges to an efficient solution‎. ‎numerical examples and a simulation study are used to...

Emerging applications of RFID require high e–ciency of tag identiflcation. Since passive tags have dumb functionality, the efflciency of tag identiflcation in RFID system relies on the performance of the collision arbitration algorithm embedded in a reader. In this paper, we develop a novel collision arbitration algorithm, which is named Q-Algorithm, improving Q-Algorithm which is introduced in...

Stability is often the goal for clearinghouses in matching markets, such as those matching residents to hospitals, students to schools, etc. Stable outcomes absent transfers need not be utilitarian effi cient, suggesting the potential value of transfers. We study the wedge between stability and effi ciency in large one-to-one matching markets. We show stable matchings are effi cient asymptotica...

In this paper, the delete-mj jackknife estimator is proposed. This estimator is based on samples obtained from the original sample by successively removing mutually exclusive groups of unequal size. In a Monte Carlo simulation study, a hierarchical linear model was used to evaluate the role of nonnormal residuals and sample size on bias and eciency of this estimator. It is shown that bias is r...

In this paper, we study convergence and e ciency of the batch estimator and natural gradient algorithm for blind deconvolution. First, the blind deconvolution problem is formulated in the framework of a semiparametric model, and a family of estimating functions is derived for blind deconvolution. To improve the learning e ciency of the online algorithm, explicit standardized estimating function...

in this article, we propose and analyze a computational method for numerical solution of general two point boundary value problems. method is tested on problems to ensure the computational eciency. we have compared numerical results with results obtained by other method in literature. we conclude that propose method is computationally ecient and eective.

The high recovery performance of steam-assisted gravity drainage (SAGD) makes it a popular option for heavy oil resources. Currently, most the reservoirs developed by SAGD in China are late development phase, with energy consumption due to reduced thermal ef?ciency. use wind-down processes involving CO2 combination steam is considered as viable alternative limit consumption, and also reduce amo...

Electoral agency models suggest that government effi ciency is better when voters penalize poor performance, and party competition is balanced. Uncertainty in the electoral mechanism dillutes the incentive to produce effi ciently. We test this proposition on panel data on local governments. The dataset includes a broad set of indicators on service output and quality, which facilitates the measu...

The use of incentive regulation and other alternative regulatory programs in U.S. electricity markets has grown during the past two decades. Within a stochastic frontier framework, I investigate the effect of individual programs on the technical efŽ ciency of a large set of coal and natural gas generation units. I Ž nd that those programs tied directly to generator performance and those that mo...

We consider the problem of randomly assigning n indivisible objects to n agents. Recent research introduced a promising mechanism, the probabilistic serial that has superior e¢ ciency properties than the most common real-life mechanism random priroity. On the other hand, mechanisms based on Gale’s celebrated top trading cycles method have long dominated the indivisible goods literature (with th...