Making lighter work of calculating fluid and heat flow

Scientists from Tokyo Metropolitan University have re-engineered the popular Lattice-Boltzmann Method (LBM) for simulating ...
IEEE

Follow the Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation

Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in ...
Phys.org

New theory promises faster, more accurate predictions of chemical reaction energetics

Researchers at the University of Illinois Urbana-Champaign have developed a new theoretical framework that could dramatically reduce the cost and complexity of predicting chemical reaction energetics ...
IEEE

Conditions for Error-Free Best Linear Unbiased Estimation Without Prior

Abstract: Generally, estimates are subject to errors. For a general linear data model, we study conditions for guaranteed error-free best linear unbiased estimation (BLUE) without prior information in ...