Abstract: Inhomogeneous linear ordinary differential equations (ODEs) and systems of ODEs can be solved in a variety of ways. However, hardware circuits that can perform the efficient analog ...

Abstract: Often in applications like medical imaging, error correction, and sensor networks, one needs to solve large-scale linear systems in which a fraction of the ...

Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine ...

Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...

A scientific statement has been published by the AHA and ACC regarding using risk assessment for BP management for prevention of CVD.

Collaboration feels like a human challenge but behaves like a system. Systems thinking resolves this paradox by revealing how ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

Lincoln's S. Kathleen Lyons is providing a new framework—Earth system engineering—for examining how organisms, including humans, have fundamentally altered ecosystems on a global scale across hundreds ...

Several fundamental results on the existence and behavior of solutions to semilinear functional differential equations are developed in a Banach space setting. The ideas are applied to ...

DeepMind’s AI finds new, proven solutions to Navier-Stokes equations—advancing fluid dynamics and future climate, flight, and ...