On Linear Convergence of Non-Euclidean Gradient Methods without Strong Convexity and Lipschitz Gradient Continuity

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
On Linear Convergence of Non-Euclidean Gradient Methods without Strong Convexity and Lipschitz Gradient Continuity
Authors
Keywords
Non-Euclidean gradient methods, Nonconvex minimization, Bregman distance, Lipschitz-like convexity condition, Descent lemma without Lipschitz gradient, Gradient dominated inequality, Łojasiewicz gradient inequality, Linear rate of convergence, 65K05, 49M10, 90C26, 90C30, 65K10
Journal
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-04-06
DOI
10.1007/s10957-019-01516-9
References
View 5 related references

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.