Numerical methods in large-scale optimization: inexact oracle and primal-dual analysis
Optimization and Control
2020-09-11 v1
Abstract
This is a short summary of already published results on accelerated first and zero-order optimization methods, as well as accelerated methods for problems with linear constraints. This short summary is a requirement for obtaining a degree of doctor of sciences in Russian Federation. The details can be found in the papers listed in the introduction.
Cite
@article{arxiv.2009.04458,
title = {Numerical methods in large-scale optimization: inexact oracle and primal-dual analysis},
author = {Pavel Dvurechensky},
journal= {arXiv preprint arXiv:2009.04458},
year = {2020}
}