The Matrix View in Cakewalk is a powerful tool for organizing and triggering musical ideas in a non-linear fashion, ideal for live performances, composing, or experimenting with loops and clips. This ...

Immigration agents are using aggressive tactics. Residents of the sanctuary city are trying to resist them. By Julie Bosman I’m the Chicago bureau chief. During a recent run near Lake Michigan, I ...

This project explores the optimization of matrix multiplication using parallel computing techniques such as multithreading. Traditional matrix multiplication has a time complexity of O(n³), which ...

In this episode of “At Your Convenience,” CSP Editors Diane Adam and Chuck Ulie discuss labor and hiring challenges that convenience stores are facing. They share examples of how c-stores are ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. You may have access to this article through your institution.

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

On April 3, 2025, the U.S. Environmental Protection Agency (EPA) announced changes on how the data matrix form (EPA Form 8570-35) is submitted to EPA, stating this change is an improvement to simplify ...