Data assimilation (DA) is a mathematical family of methods that allows the combination of observations and models. The model is used to fill observational gaps, and ...

Abstract: Covariance matrix estimation is of great importance in statistical signal processing. This paper considers covariance matrix estimation from correlated ...

This GP model is trained by the quantum-inspired Hamiltonian Monte Carlo (QHMC) algorithm, which is an efficient way to sample from a broad class of distributions by allowing a particle to have a ...

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods ...

Megakaryocytes form a three-dimensional (3D) cage composed of laminin and collagen IV connected to the basement membrane surrounding them. This microarchitecture stabilizes megakaryocytes within their ...

The dual degree program in Mathematics and Industrial Engineering at Gallaudet University and Rochester Institute of Technology is a cooperative 5-year study program that enables students to obtain a ...

If you find this repository useful, please use the following BibTeX entry for citation. @misc{liu2024citygaussianv2efficientgeometricallyaccurate, title ...

Last year, he performed a new song, “You Can Make It,” at the BET Awards. The prospect of a Matrix-inspired music video is certainly exciting. Lana and Lilly Wachowski’s film is still ...

Combining experiments in microfluidic devices and computer simulation, this study provides a valuable analysis of the relevant parameters that determine the motility of (multicellular) magnetotactic ...