Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics

标题
Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics
作者
关键词
-
出版物
IEEE SIGNAL PROCESSING MAGAZINE
Volume 31, Issue 5, Pages 32-43
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2014-08-19
DOI
10.1109/msp.2014.2329397

向作者/读者发起求助以获取更多资源

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started