Multiway selection is a term that is relevant to programming in computer science. Languages such as C++ employ multiway selection. Specifically, multiway selection is a style of code writing that allows the testing of a variable against a list of...

In computer science, a selection algorithm is an algorithm for finding the kth smallest number in a list, called order statistics. This includes the cases of finding the minimum, maximum, and median elements. There are worst-case linear time selection...

As component-based development matures, more and more applications are built by integrating multiple distributed components. We suggest providing components with multiple implementations, each optimized for a particular workload, and augmenting the component run-time environment with a mechanism for switching between implementations. This mechanism monitors...

The need to explore model uncertainty in linear regression models with many predictors has motivated improvements in Markov chain Monte Carlo sampling algorithms for Bayesian variable selection. Currently used sampling algorithms for Bayesian variable selection may perform poorly when there are severe multicollinearities...