The density matrix renormalization group method has been extensively used to study the ground state of 1D many-body systems since its introduction two decades ago. In spite of its wide use, this ...

Monte Carlo methods and Markov Chain algorithms have long been central to computational science, forming the backbone of numerical simulation in a variety of disciplines. These techniques employ ...

This is a preview. Log in through your library . Abstract This paper describes a multichannel physical approach for retrieving rainfall and vertical structure information from satellite-based passive ...

Vol. 69, No. 1, Analytic Tableaux and Related Methods. Part 1: Modal Logics (Oct., 2001), pp. 5-40 (36 pages) Description logics are a family of knowledge representation formalisms that are descended ...

The authors present a simple-to-use Microsoft Excel-based statistical tool that uses cumulative sum techniques to aid retrospective understanding of data trends. In pharmaceutical development and ...

Abstract: This study introduces a distributed algorithm based on the Newton methods, which is designed to collaboratively solve time-varying linear equations with a unique solution through the ...

Experts in anthropology and cybersecurity are examining the unspoken knowledge shared by cybersecurity analysts as a way to develop new automated tools that help analysts strengthen their cyber ...

Greater diversity in the workplace benefits everyone, from employees to companies! That’s why Toshe Ayo-Ariyo, Sonal Patel, and Danielle Ho created UInclude, a company that uses a machine learning ...

As governments look to regulate the online world, the scrutiny of the algorithms that sit behind popular websites and apps is only going to increase. With doubts over whether self-regulation can ever ...