We study the sensitivity of election outcomes to small changes in voters’ preferences. We assume that a voter may err by swapping two adjacent candidates in his vote; we would like to check whether the election outcome would remain the same given up to δ errors. We show that this problem can be viewed as the destructive version of the unit-cost swap bribery problem, and demonstrate that it is p...

This paper considers experimental information on the atomic arrangements in non-crystalline single element films of transition and coinage metals prepared by vapour quenching and compares this information with results from recently reported structural models. The method of structural analysis using transmission electron diffraction is outlined and several recent experimental investigations are ...

In a previous paper, Russo et al. (2006), causality is considered in the framework of structural models, i.e. statistical models characterized by parameters that are stable over a large class of interventions or of environmental changes and that take into account background and contextual knowledge. From this statistical viewpoint, causality is defined in terms of exogeneity in a structural mod...

the present research is seeking to assess the technical efficiency of bank sepah branches (in tehran province) and to identify the factors which exert influence on it. data over the period 2005-2007 relating to 52 different branches of tehran province sepah bank. in order to do this, the estimated stochastic cost function with the use of maximum likelihood (ml) method has been exercised in this...

Despite existing various integer programming for sequencing problems, there is not enoughinformation about practical values of the models. This paper considers the problem of minimizing maximumlateness with release dates and presents four different mixed integer programming (MIP) models to solve thisproblem. These models have been formulated for the classical single machine problem, namely sequ...

in this paper, i develop three forecasting models: namely structural, times series, and artificial neural networks; to forecast iranian inflation rates. the structural model uses aggregate demand and aggregate supply approach, the time series model is based on the standard arlma technique, and the artificial neural network applies multi-layer back propagation model the latter, which is rooted i...