Abstract: This paper explores the application of Newton-based methods for solving the nonlinear optimization problem typical of moving horizon estimation (MHE). Specifically, we examine the ...

Interior-point methods constitute a robust class of algorithms for solving constrained optimisation problems by exploring the interior of the feasible region instead of traversing its boundary. These ...

Newtonian, Lagrangian, and Hamiltonian approaches! 🕰️🔬 In this video, we explore the motion of a simple pendulum from three different perspectives: the Newtonian approach (using forces and ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Floquet control uses time-periodic drives to engineer quantum systems, creating dynamic changes in material properties ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Vikki Velasquez is a researcher and writer who has managed, coordinated, ...

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

Abstract: Skeleton-based human action recognition (HAR) has become a prevalent topic in the field of computer vision due to its ability to widely use in different applications such as video ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

As a small business owner, Liz understands the unique challenges entrepreneurs face. Well-versed in the digital landscape, she combines real-world experience in website design, building e-commerce ...