This work deals with the weighted excesses of players in cooperative games which are obtained by summing up all coalitions to they belong. We first show that resulting payoff vector is corresponding least square value lexicographically minimizing individual over preimputation set, and thus give an alternative characterization values. Second, we these results rise lower upper bounds for core vec...

In this work, we develop a distributed least squares approximation (DLSA) method that is able to solve large family of regression problems (e.g., linear regression, logistic and Cox's model) on system. By approximating the local objective function using quadratic form, are obtain combined estimator by taking weighted average estimators. The resulting proved be statistically as efficient global ...

Using the sampled data of a desired pattern is a common technique in pattern synthesizing of array factor (AF) of antenna arrays. Based on the obtained data matrix, Least Square Method (LSM) is used to calculate the exciting coefficient of array elements. The most important parameter, which involves the accuracy and complexity of calculation, is the sampling rate of the desired pattern. Classic...