most citedFirst-order Methods with Convergence Rates for Multi-agent Systems on Semidefinite Matrix Spaces

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

math.OC2019★ 1 cited

First-order Methods with Convergence Rates for Multi-agent Systems on Semidefinite Matrix Spaces

Nahidsadat Majlesinasab, Farzad Yousefian, Mohammad Javad Feizollahi

The goal in this paper is to develop first-order methods equipped with convergence rates for multi-agent optimization problems on semidefinite matrix spaces. These problems include…

math.OC2018

A First-order Method for Monotone Stochastic Variational Inequalities on Semidefinite Matrix Spaces

Nahidsadat Majlesinasab, Farzad Yousefian, Mohammad Javad Feizollahi

Motivated by multi-user optimization problems and non-cooperative Nash games in stochastic regimes, we consider stochastic variational inequality (SVI) problems on matrix spaces wh…