This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-stage stochastic linear programming problems with complete recourse. The algorithm uses sampling when the random variables are represented by continuous distribution functions. Traditionally, this method has been applied...

The two fundamental approaches used to analyze survey data, designand model-based, differ in how they incorporate complexities of the sampling design, such as stratification, clustering and/or unequal probabilities of selection, into the survey analysis. The design-based analysis uses the sampling design as the sole source of the variability, which necessitates the use of survey sampling weight...

Many communication systems are bandwidthexpanding : the transmitted signal occupies a bandwidth larger than the symbol rate. The sampling theorems of Kotelnikov, Shannon, Nyquist et al. [1] shows that in order to represent a bandlimited signal, it is necessary to sample at what is popularly referred to as the Shannon or Nyquist rate. However, in many systems, the required sampling rate is very ...