Learn how to build efficient recommender systems using co-visitation matrices and RAPIDS cuDF for faster data processing and improved personalization. Recommender systems are crucial for personalizing ...

This paper attempts to resolve the problem concerning the interval observers design for linear systems with ostensible Metzler system matrices. Because system dynamics matrices are partially different ...

Abstract: In cases where we do not have the exact parameter values of a mathematical model, we often have at least some structural information, e.g., that some parameters are nonzero. Such information ...

Abstract: The goal of Matrices Over Runtime Systems at Exascale (MORSE) project is to design dense and sparse linear algebra methods that achieve the fastest possible time to an accurate solution on ...