Weighted orthogonal Procrustes problems with the Frobenius norm in the objective Weighted orthogonal Procrustes problems with the $l_1$ norm in the objective Weighted ...

In this talk we will present approximation algorithms (and general techniques) for some basic problems in the field of stochastic optimization. A canonical problem is stochastic knapsack: we are given ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. As soon as an appropriate mathematical model is developed, it can ...

Department of Mathematics, Yunnan University, Kunming, P. R. China. School of Management and Economics, Kunming University of Science and Technology, Kunming, P. R. China. The 3-partitioning problem ...

Abstract: The function of this study is devoted to aspects of approximation algorithms such as approximation problems and showing the relationship between approximation order, linear classification ...

Abstract: In this article, we develop a framework for showing that neural networks can overcome the curse of dimensionality in different high-dimensional approximation problems. Our approach is based ...

Department of Mathematical Sciences, Shawnee State University, Portsmouth, USA. Department of Mathematics, The Technion-Israel Institute of Technology, Haifa, Israel. The Abdus Salam International ...

This project contains code for the paper titled "Distance approximation to support customer selection in vehicle routing problems" by Fabian Akkerman and Martijn Mes ...