Artificial intelligence (AI) is reshaping work—especially in technical and knowledge-intensive fields—by automating routine tasks and increasing the value of quantitative reasoning and systems ...

The contemporary state of machine learning and artificial intelligence is marked by an increasing reliance on black-box methodologies, where the utilization of high-level packages and automated ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

When most people think of shapes, they imagine a triangle, a rectangle, or maybe even a fancier-sounding rhombus or trapezoid. But to mathematicians, shapes encompass a vast universe of surprising ...

brombo/galgebra was originally written by Alan Bromborsky, but was no longer actively maintained, and as of 2019-11-25 no longer exists. pygae/galgebra is a community fork, maintained by Pythonic ...

The PaStiX (Parallel Sparse matriX package) is a open-source scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical ...

The BUQEYE collaboration (Bayesian Uncertainty Quantification: Errors in Your effective field theory) presents a pedagogical introduction to projection-based, reduced-order emulators for applications ...

The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial differential equations (PDEs) of, say, fluid ...

It is well-known that optical waves can be utilized for the processing of spatial and/or temporal information 1,2,3,4,5,6. Using optical waves to process information is appealing since computation can ...

Many real-world data are inherently multidimensional; however, often data are processed as two-dimensional arrays (matrices), even if the data are naturally represented in higher dimension. The common ...

As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. We argue ...

A grand challenge to solve a large-scale linear inverse problem (LIP) is to retain computational efficiency and accuracy regardless of the growth of the problem size. Despite the plenitude of methods ...