Understanding how firms build their capabilities, such as managerial skills, technology adoption and innovation capacity, is ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Zoraptera, also known as angel insects or ground lice, are tiny termite-like insects generally found underneath bark or in ...

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 ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...

1 College of Science, North China University of Science and Technology, Tangshan, China. 2 Hebei Provincial Key Laboratory of Data Science and Applications, North China University of Science and ...

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 ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...