Quantum computing news usually picks up near the end of the year, as companies try to provide evidence that they are hitting ...

Jeremiah Blocki, [email protected]: Monday @ 3:30 PM. GHC 7th floor lounge. Students can email me if they want to meet at a different time. Anvesh Komuravelli, [email protected]: Friday @ 4 ...

Abstract: Scaffold filling is a new combinatorial optimization problem in genome sequencing. The one-sided scaffold filling problem can be described as given an incomplete genome $(I)$ and a complete ...

Abstract: This article presents an approximation algorithm for a Task Allocation, Sequencing and Scheduling Problem (TASSP) involving a team of human operators and robots. The robots have to travel to ...

Computing the minimal volume oriented bounding box for a given point cloud in 3D is a hard problem in computer science. Exact algorithms are known and of cubic order in the number of points in 3D. A ...

1 Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development, Civil Aviation University of China, Tianjin, China. 2 Groupe d’Acoustigue de l’ Université de ...

We study the problem of estimating the size of a maximum matching in sublinear time. The problem has been studied extensively in the literature and various algorithms and lower bounds are known for it ...

A large focus of quantum algorithms has been on the determination of ground state properties of a given Hamiltonian, with a much smaller effort on extracting excited state properties 1,2,3,4,5,6.

This repository provides a software suite implementing Domain Elastic Transform (DET), Bayesian Coherent Point Drift (BCPD/GBCPD), and Dependent Landmark Drift (DLD), BCPD registers two point clouds, ...

This study first analyzes the dual motor system. A novel electromechanical control automation model based on a dual motor control algorithm is proposed through the control strategy of dual motor ...

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...