Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 172 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 38 tok/s Pro
GPT-5 High 30 tok/s Pro
GPT-4o 73 tok/s Pro
Kimi K2 231 tok/s Pro
GPT OSS 120B 427 tok/s Pro
Claude Sonnet 4.5 38 tok/s Pro
2000 character limit reached

Convergence and rate of convergence of some greedy algorithms in convex optimization (1412.3297v1)

Published 10 Dec 2014 in stat.ML and math.NA

Abstract: The paper gives a systematic study of the approximate versions of three greedy-type algorithms that are widely used in convex optimization. By approximate version we mean the one where some of evaluations are made with an error. Importance of such versions of greedy-type algorithms in convex optimization and in approximation theory was emphasized in previous literature.

Citations (5)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.