This year’s Common Read selection, “Talking Across the Divide - How to Communicate with People You Disagree with and Maybe ...

Audrey Hendley chats with Newsweek about her decades-long career at American Express and how she proved that innovation could ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: This article considers the problem of solving linear algebraic equations of the form Ax=b among multiagents, which seek a solution by using local information in presence of random ...

The geology that holds up the Himalayas is not what we thought, scientists discover If You're Still Running Windows 10, You Need to Do This One Thing Before Oct. 14 Arch Manning's nightmare outing ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. Liu et al., present ...

A brisk April day in Manhattan, an overdue introduction on the F and more reader tales of New York City in this week’s Metropolitan Diary. Dear Diary: Hard to believe it was the middle of April. The ...

Linear inequalities are an essential component of algebra. They involve variables, constants, and inequality signs, depicting a range of solutions rather than one specific solution like an equation ...