The federal government has just undergone one of the sharpest staff contractions in its modern history, and Elon Musk is ...

This repo has been archived in 190728. New update will be made to edxu96/MatrixOptim, which is the aggregation of robust optimization and matrix optimization. It's in matrix form as well, and there is ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In this paper, we propose a new unified optimization ...

Abstract: An efficient framework is conceived for fractional matrix programming (FMP) optimization problems (OPs) namely for minimization and maximization. In each generic OP, either the objective or ...

Abstract: Consensus in ad hoc networks is fundamental for coordinating tasks such as cooperative sensing, learning, and data fusion. Till now, designing algorithm to tackle consensus problem primarily ...

This is the official implementation of our paper "Riemannian Optimization on Relaxed Indicator Matrix Manifold" . We propose a fundamental manifold in machine learning—the Relaxed Indicator Matrix ...

Logistics is an industry where every second and every mile counts. With growing customer demands, rising fuel costs, and an increasing emphasis on sustainability, the pressure on logistics companies ...

This paper studies a high order moments portfolio optimization model with transaction costs. The model takes kurtosis as objective function and takes the skewness, variance, mean and transaction costs ...