Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

Abstract: This letter presents a GPU-accelerated implementation of the Current Injection Method for Power Flow (CIM-PF) using a Sparse Inverse Factor Matrix-Vector Multiplication (SIF-MVM) linear ...

Differential equations often give rise to rank-structured matrices characterized by low-rank off-diagonal blocks. These matrices can be conveniently represented in a hierarchical format, enabling ...

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Tackling the questions that systems designers care about, this book brings queueing theory decisively back to computer science. The book is written with computer scientists and engineers in mind and ...

This repository contains both the operators needed to use our parameterization of vertex positions of meshes as well as the code for the experiments we show in the paper. This will install the ...

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Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.

System identification learns models of dynamical systems from input–output measurements. Estimated models should generalize by predicting system’s output responses to new, previously unseen inputs.