Abstract: Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced.

Last month, Nielsen introduced its new "Big Data + Panel" measurement, which combines ratings data from traditional households with statistics from smart TVs and set-top boxes. Nielsen's new system ...

Can we reveal objects that are hidden in environments completely opaque to the human eye? With conventional imaging techniques, the answer is no: a dense cloud or layer of material blocks light so ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

A self-described “MAGA former dancer” is now leading the Kennedy Center’s dance programming, and he’s inherited a series decimated by local boycotts, according to ticket sales data reviewed by ...

WICHITA, Kan. (KSNW) – A ceremony was held Tuesday morning in downtown Wichita. The ceremony marked the placement of the final structural beam for the new Wichita Biomedical Campus. The facility, ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

China’s plan to get consumers spending again may be working a little too well. Policymakers’ rollout of subsidies for smartphones, home appliances, cars and a host of other products have spurred a ...

Catharina Capitain and Melanie Schüßler from the Faculty of Geosciences at the University of Tübingen, Tübingen, Germany describe a novel approach using matrix-matched semiquantification to ...