Book contents
- Frontmatter
- Dedication
- Contents
- Part I Overview of Big Data Applications page
- Part II Methodology and Mathematical Background
- Part III Big Data Applications
- 8 Compressive Sensing-Based Big Data Analysis
- 9 Distributed Large-Scale Optimization
- 10 Optimization of Finite Sums
- 11 Big Data Optimization for Communication Networks
- 12 Big Data Optimization for Smart Grid Systems
- 13 Processing Large Data Sets in MapReduce
- 14 Massive Data Collection Using Wireless Sensor Networks
- Bibliography
- Index
10 - Optimization of Finite Sums
from Part III - Big Data Applications
Published online by Cambridge University Press: 18 May 2017
- Frontmatter
- Dedication
- Contents
- Part I Overview of Big Data Applications page
- Part II Methodology and Mathematical Background
- Part III Big Data Applications
- 8 Compressive Sensing-Based Big Data Analysis
- 9 Distributed Large-Scale Optimization
- 10 Optimization of Finite Sums
- 11 Big Data Optimization for Communication Networks
- 12 Big Data Optimization for Smart Grid Systems
- 13 Processing Large Data Sets in MapReduce
- 14 Massive Data Collection Using Wireless Sensor Networks
- Bibliography
- Index
- Type
- Chapter
- Information
- Signal Processing and Networking for Big Data Applications , pp. 225 - 235Publisher: Cambridge University PressPrint publication year: 2017