We introduce a combined two-stage least-squares (2SLS)-expectation maximization (EM) algorithm for estimating vector-valued autoregressive conditional heteroskedasticity models with standardized errors generated by Gaussian mixtures. The procedure incorporates the identification of the...

We show how applications in computational economics can take advantage of modern parallel architectures to reduce the computation time in a wide array of models that have been, to date, computationally intractable. The specific application comes from solving a portfolio choice model over the...

Purpose – An issue that tends to be ignored in information retrieval is the issue of updating inverted files. This is largely because inverted files were devised to provide fast query service, and much work has been done with the emphasis strongly on queries. This paper aims to study the...

Purpose – The generation of inverted indexes is one of the most computationally intensive activities for information retrieval systems: indexing large multi‐gigabyte text databases can take many hours or even days to complete. We examine the generation of partitioned inverted files in order...

Purpose – Aims to describe design, prototyping and characteristics of a pole climbing/manipulating robot with ability of passing bends and branches of the pole. Design/methodology/approach – Introducing a hybrid (parallel/serial) four degree of freedom (DOF) mechanism as the main part of the...

The point of this paper is to review recent theoretical and experimental results related to scalability of the FETI based domain decomposition algorithm that was proposed recently by Dostál, Friedlander, Santos and Gomes for numerical solution of discretized variational inequalities. After...