Abstract

In this chapter, we shall study a few applications of linear programming to an area of statistics called regression and to an area of machine learning called support vector machines. As a specific example for our study of regression, we shall use size and iteration-count data collected from a standard suite of linear programming problems to derive a regression estimate of the number of iterations needed to solve problems of a given size.

Original languageEnglish (US)
Title of host publicationInternational Series in Operations Research and Management Science
PublisherSpringer
Pages187-213
Number of pages27
DOIs
StatePublished - 2020

Publication series

NameInternational Series in Operations Research and Management Science
Volume285
ISSN (Print)0884-8289
ISSN (Electronic)2214-7934

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Data science applications'. Together they form a unique fingerprint.

  • Cite this

    Vanderbei, R. J. (2020). Data science applications. In International Series in Operations Research and Management Science (pp. 187-213). (International Series in Operations Research and Management Science; Vol. 285). Springer. https://doi.org/10.1007/978-3-030-39415-8_12